Triple

T546399
Position Surface form Disambiguated ID Type / Status
Subject Semitic languages E12741 entity
Predicate hasLanguage P15 FINISHED
Object Sabaic
Sabaic is an ancient South Arabian Semitic language once used in inscriptions and documents in what is now Yemen.
 E68213 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: Sabaic | Statement: [Semitic languages, hasLanguage, Sabaic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sabaic
Context triple: [Semitic languages, hasLanguage, Sabaic]
  • A. Seraiki
    Seraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
  • B. Amuzgo
    The Amuzgo are an indigenous Mesoamerican people primarily inhabiting the mountainous regions of Guerrero and Oaxaca in southern Mexico, known for their distinct language and rich textile-weaving traditions.
  • C. Sarigan
    Sarigan is a small, uninhabited volcanic island in the Northern Mariana Islands known for its active stratovolcano and protected wildlife habitats.
  • D. Winaray
    Winaray is an Austronesian language spoken primarily in the Eastern Visayas region of the Philippines, particularly in Samar, northern Leyte, and nearby areas.
  • E. Siwi
    Siwi is a Berber language spoken primarily in Egypt’s Siwa Oasis, known for its unique features and relative isolation from other Berber varieties.
  • 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: Sabaic
Triple: [Semitic languages, hasLanguage, Sabaic]
Generated description
Sabaic is an ancient South Arabian Semitic language once used in inscriptions and documents in what is now Yemen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sabaic
Target entity description: Sabaic is an ancient South Arabian Semitic language once used in inscriptions and documents in what is now Yemen.
  • A. Seraiki
    Seraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
  • B. Amuzgo
    The Amuzgo are an indigenous Mesoamerican people primarily inhabiting the mountainous regions of Guerrero and Oaxaca in southern Mexico, known for their distinct language and rich textile-weaving traditions.
  • C. Sarigan
    Sarigan is a small, uninhabited volcanic island in the Northern Mariana Islands known for its active stratovolcano and protected wildlife habitats.
  • D. Winaray
    Winaray is an Austronesian language spoken primarily in the Eastern Visayas region of the Philippines, particularly in Samar, northern Leyte, and nearby areas.
  • E. Siwi
    Siwi is a Berber language spoken primarily in Egypt’s Siwa Oasis, known for its unique features and relative isolation from other Berber varieties.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498e150e88190b35b1bc7a376ca07 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4d044b03c8190b7c87b0da05e4d6e completed March 1, 2026, 11:48 p.m.
NEDg Description generation batch_69a4d0daca588190a6a1865ae3d12c71 completed March 1, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_69a4d18801248190afedd4ea5f718bd7 completed March 1, 2026, 11:53 p.m.
Created at: March 1, 2026, 7:32 p.m.