Triple

T9269625
Position Surface form Disambiguated ID Type / Status
Subject Tera E222790 entity
Predicate hasNeighborLanguage P16383 FINISHED
Object Bura language
Bura language is a Chadic language spoken primarily in northeastern Nigeria by the Bura people.
E788834 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: Bura language | Statement: [Tera, hasNeighborLanguage, Bura language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bura language
Context triple: [Tera, hasNeighborLanguage, Bura language]
  • A. Buru languages
    Buru languages are a small group of closely related Austronesian languages spoken primarily on Buru Island in Indonesia’s Maluku region.
  • B. Bunak language
    The Bunak language is a Papuan language spoken primarily in the central region of Timor, straddling the border between Indonesia and Timor-Leste.
  • C. Bagirmi language
    The Bagirmi language is a Central Sudanic language spoken primarily in Chad by the Bagirmi people, known for its role as a regional lingua franca and its rich oral tradition.
  • D. Berom language
    The Berom language is a Plateau language spoken primarily by the Berom people in Nigeria’s Middle Belt region, especially around Jos in Plateau State.
  • E. Boro language
    Boro language is a Tibeto-Burman language spoken primarily by the Boro people of Assam in northeastern India.
  • 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: Bura language
Triple: [Tera, hasNeighborLanguage, Bura language]
Generated description
Bura language is a Chadic language spoken primarily in northeastern Nigeria by the Bura people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bura language
Target entity description: Bura language is a Chadic language spoken primarily in northeastern Nigeria by the Bura people.
  • A. Buru languages
    Buru languages are a small group of closely related Austronesian languages spoken primarily on Buru Island in Indonesia’s Maluku region.
  • B. Bunak language
    The Bunak language is a Papuan language spoken primarily in the central region of Timor, straddling the border between Indonesia and Timor-Leste.
  • C. Bagirmi language
    The Bagirmi language is a Central Sudanic language spoken primarily in Chad by the Bagirmi people, known for its role as a regional lingua franca and its rich oral tradition.
  • D. Berom language
    The Berom language is a Plateau language spoken primarily by the Berom people in Nigeria’s Middle Belt region, especially around Jos in Plateau State.
  • E. Boro language
    Boro language is a Tibeto-Burman language spoken primarily by the Boro people of Assam in northeastern India.
  • 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd074ef7408190b213c09491918132 completed April 1, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c2239a08190b954c8c57ced8fd2 completed April 4, 2026, 5:05 a.m.
NEDg Description generation batch_69d09cf11e488190b61f4a61002454e6 completed April 4, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_69d09e2450048190b5aa31507e54d6c8 completed April 4, 2026, 5:14 a.m.
Created at: March 30, 2026, 7:33 p.m.