Triple

T7862032
Position Surface form Disambiguated ID Type / Status
Subject Baliledu language E182521 entity
Predicate linguisticArea P17400 FINISHED
Object Eastern Indonesian linguistic area
The Eastern Indonesian linguistic area is a region of eastern Indonesia where diverse Austronesian and Papuan languages share convergent structural features due to long-term contact.
E695851 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Eastern Indonesian linguistic area | Statement: [Baliledu language, linguisticArea, Eastern Indonesian linguistic area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eastern Indonesian linguistic area
Context triple: [Baliledu language, linguisticArea, Eastern Indonesian linguistic area]
  • A. Indo-Pacific linguistic area
    The Indo-Pacific linguistic area is a proposed macro-area encompassing diverse, often non-Austronesian languages of the Indian and Pacific Ocean regions that are hypothesized to share deep historical connections and structural features.
  • B. Sulawesi linguistic area
    The Sulawesi linguistic area is a region of the Indonesian island of Sulawesi characterized by intense contact among diverse Austronesian and Papuan languages, leading to shared structural features across otherwise unrelated language groups.
  • C. Philippine linguistic area
    The Philippine linguistic area is a region encompassing the Philippines where diverse Austronesian languages share common structural features due to long-term contact and convergence.
  • D. Remote Oceania linguistic area
    The Remote Oceania linguistic area is a region of the Pacific characterized by closely related Oceanic languages spoken across widely dispersed island groups such as Polynesia, Micronesia, and parts of eastern Melanesia.
  • E. Sumatran languages
    Sumatran languages are a diverse group of Austronesian languages spoken on the Indonesian island of Sumatra and its surrounding regions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eastern Indonesian linguistic area
Triple: [Baliledu language, linguisticArea, Eastern Indonesian linguistic area]
Generated description
The Eastern Indonesian linguistic area is a region of eastern Indonesia where diverse Austronesian and Papuan languages share convergent structural features due to long-term contact.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eastern Indonesian linguistic area
Target entity description: The Eastern Indonesian linguistic area is a region of eastern Indonesia where diverse Austronesian and Papuan languages share convergent structural features due to long-term contact.
  • A. Indo-Pacific linguistic area
    The Indo-Pacific linguistic area is a proposed macro-area encompassing diverse, often non-Austronesian languages of the Indian and Pacific Ocean regions that are hypothesized to share deep historical connections and structural features.
  • B. Sulawesi linguistic area
    The Sulawesi linguistic area is a region of the Indonesian island of Sulawesi characterized by intense contact among diverse Austronesian and Papuan languages, leading to shared structural features across otherwise unrelated language groups.
  • C. Philippine linguistic area
    The Philippine linguistic area is a region encompassing the Philippines where diverse Austronesian languages share common structural features due to long-term contact and convergence.
  • D. Remote Oceania linguistic area
    The Remote Oceania linguistic area is a region of the Pacific characterized by closely related Oceanic languages spoken across widely dispersed island groups such as Polynesia, Micronesia, and parts of eastern Melanesia.
  • E. Sumatran languages
    Sumatran languages are a diverse group of Austronesian languages spoken on the Indonesian island of Sumatra and its surrounding regions.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb36be5f408190b82a097b0825c57a completed March 31, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b4138d081908a5ff16b79f0a0c8 completed March 31, 2026, 5:27 a.m.
NEDg Description generation batch_69cb5f1c9ef08190b1b79482f39966c7 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb767b198481909cfc1f7a44e6f0d8 completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:53 p.m.