Triple

T8837092
Position Surface form Disambiguated ID Type / Status
Subject Alor archipelago E210291 entity
Predicate hasLanguage P15 FINISHED
Object Adang language
Adang language is a Papuan language spoken by the Adang people on Alor Island in Indonesia’s Alor archipelago.
 E761540 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: Adang language | Statement: [Alor archipelago, hasLanguage, Adang language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Adang language
Context triple: [Alor archipelago, hasLanguage, Adang language]
  • A. Andi language
    The Andi language is a Northeast Caucasian language spoken by the Andi people in the western part of Dagestan, Russia.
  • B. Ngaju language
    The Ngaju language is an Austronesian language spoken primarily by the Ngaju Dayak people of central Kalimantan in Indonesian Borneo.
  • C. Uduk language
    The Uduk language is a Nilo-Saharan language spoken primarily by the Uduk people of eastern Sudan and western Ethiopia.
  • D. Damana language
    The Damana language is an indigenous Chibchan tongue spoken by the Wiwa people of the Sierra Nevada de Santa Marta region in northern Colombia.
  • E. Angkola language
    Angkola language is an Austronesian language of the Batak group spoken primarily by the Angkola people in North Sumatra, Indonesia.
  • 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: Adang language
Triple: [Alor archipelago, hasLanguage, Adang language]
Generated description
Adang language is a Papuan language spoken by the Adang people on Alor Island in Indonesia’s Alor archipelago.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Adang language
Target entity description: Adang language is a Papuan language spoken by the Adang people on Alor Island in Indonesia’s Alor archipelago.
  • A. Andi language
    The Andi language is a Northeast Caucasian language spoken by the Andi people in the western part of Dagestan, Russia.
  • B. Ngaju language
    The Ngaju language is an Austronesian language spoken primarily by the Ngaju Dayak people of central Kalimantan in Indonesian Borneo.
  • C. Uduk language
    The Uduk language is a Nilo-Saharan language spoken primarily by the Uduk people of eastern Sudan and western Ethiopia.
  • D. Damana language
    The Damana language is an indigenous Chibchan tongue spoken by the Wiwa people of the Sierra Nevada de Santa Marta region in northern Colombia.
  • E. Angkola language
    Angkola language is an Austronesian language of the Batak group spoken primarily by the Angkola people in North Sumatra, Indonesia.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc606adde08190825dbdabd199c025 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf898a478c81908f138a78f331b87d completed April 3, 2026, 9:34 a.m.
NEDg Description generation batch_69cf8d66cb5081908efaa1d96829ebe8 completed April 3, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69cf8defb0508190b2341ba8e79da2af completed April 3, 2026, 9:52 a.m.
Created at: March 30, 2026, 6:48 p.m.