Triple

T12654059
Position Surface form Disambiguated ID Type / Status
Subject Central Tano E302236 entity
Predicate hasLanguage P15 FINISHED
Object Abure
Abure is a Central Tano language spoken primarily in Côte d’Ivoire by the Abure people.
 E996645 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: Abure | Statement: [Central Tano, hasLanguage, Abure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abure
Context triple: [Central Tano, hasLanguage, Abure]
  • A. Abui
    Abui is a Papuan language spoken by the Abui people on Alor Island in eastern Indonesia, known for its complex verb morphology and typological interest.
  • B. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • C. Agulu
    Agulu is a town in southeastern Nigeria known for its large natural lake and location within Anambra State.
  • D. Ashama
    Ashama is a village-level settlement located within Aniocha South Local Government Area in Delta State, southern Nigeria.
  • E. Ubakala
    Ubakala is a town in Abia State, southeastern Nigeria, serving as the administrative center of the Umuahia South Local Government Area.
  • 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: Abure
Triple: [Central Tano, hasLanguage, Abure]
Generated description
Abure is a Central Tano language spoken primarily in Côte d’Ivoire by the Abure people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abure
Target entity description: Abure is a Central Tano language spoken primarily in Côte d’Ivoire by the Abure people.
  • A. Abui
    Abui is a Papuan language spoken by the Abui people on Alor Island in eastern Indonesia, known for its complex verb morphology and typological interest.
  • B. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • C. Agulu
    Agulu is a town in southeastern Nigeria known for its large natural lake and location within Anambra State.
  • D. Ashama
    Ashama is a village-level settlement located within Aniocha South Local Government Area in Delta State, southern Nigeria.
  • E. Ubakala
    Ubakala is a town in Abia State, southeastern Nigeria, serving as the administrative center of the Umuahia South Local Government Area.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96160730c81909e1aa3efb51bf159 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688104d48190939933b93b7e60cc completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f66c572f848190a8cad6311d3315a3 completed May 2, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69f66cef79148190a052fb9ade3b0d27 completed May 2, 2026, 9:30 p.m.
Created at: April 9, 2026, 5:18 p.m.