Triple

T10228654
Position Surface form Disambiguated ID Type / Status
Subject Lautém Municipality E243282 entity
Predicate hasLanguage P15 FINISHED
Object Fataluku
Fataluku is a Papuan language spoken primarily by the Fataluku people in the eastern part of Timor-Leste.
E851168 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: Fataluku | Statement: [Lautém Municipality, hasLanguage, Fataluku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fataluku
Context triple: [Lautém Municipality, hasLanguage, Fataluku]
  • A. Fugar
    Fugar is a prominent town in Nigeria known as one of the key urban centers in Edo State.
  • B. Fataleka
    Fataleka is an Oceanic language of the Southeast Solomonic group spoken by the Fataleka people in the Solomon Islands.
  • C. Talifuguen
    Talifuguen is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
  • D. Malumfashi
    Malumfashi is a town and local government area in northern Nigeria known for its role as an administrative and commercial center within Katsina State.
  • E. Mutassim
    Mutassim is a Libyan political figure best known as one of Muammar Gaddafi’s sons, who held senior security and military roles in his father’s regime.
  • 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: Fataluku
Triple: [Lautém Municipality, hasLanguage, Fataluku]
Generated description
Fataluku is a Papuan language spoken primarily by the Fataluku people in the eastern part of Timor-Leste.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fataluku
Target entity description: Fataluku is a Papuan language spoken primarily by the Fataluku people in the eastern part of Timor-Leste.
  • A. Fugar
    Fugar is a prominent town in Nigeria known as one of the key urban centers in Edo State.
  • B. Fataleka
    Fataleka is an Oceanic language of the Southeast Solomonic group spoken by the Fataleka people in the Solomon Islands.
  • C. Talifuguen
    Talifuguen is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
  • D. Malumfashi
    Malumfashi is a town and local government area in northern Nigeria known for its role as an administrative and commercial center within Katsina State.
  • E. Mutassim
    Mutassim is a Libyan political figure best known as one of Muammar Gaddafi’s sons, who held senior security and military roles in his father’s regime.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1fb93688190a9abcbebd9fede6c completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f72bc5388190a8337aa6a60ed51f completed April 9, 2026, 12:47 a.m.
NEDg Description generation batch_69d6fa2bb2ec8190aa099988a6c225eb completed April 9, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd10dbc08190a297073e1b737566 completed April 9, 2026, 1:12 a.m.
Created at: April 6, 2026, 11:18 a.m.