Triple

T6099214
Position Surface form Disambiguated ID Type / Status
Subject Isnag language E135951 entity
Predicate hasDialects P4251 FINISHED
Object Talifuguen
Talifuguen is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
 E569543 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: Talifuguen | Statement: [Isnag language, hasDialects, Talifuguen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Talifuguen
Context triple: [Isnag language, hasDialects, Talifuguen]
  • A. Fugar
    Fugar is a prominent town in Nigeria known as one of the key urban centers in Edo State.
  • B. Tabasaran
    Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
  • C. 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.
  • D. Fuggerei
    Fuggerei is a historic social housing complex in Augsburg, Germany, founded in the early 16th century by the Fugger family and often considered the world’s oldest existing social housing settlement.
  • E. La Tzoumaz
    La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
  • 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: Talifuguen
Triple: [Isnag language, hasDialects, Talifuguen]
Generated description
Talifuguen is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Talifuguen
Target entity description: Talifuguen is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
  • A. Fugar
    Fugar is a prominent town in Nigeria known as one of the key urban centers in Edo State.
  • B. Tabasaran
    Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
  • C. 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.
  • D. Fuggerei
    Fuggerei is a historic social housing complex in Augsburg, Germany, founded in the early 16th century by the Fugger family and often considered the world’s oldest existing social housing settlement.
  • E. La Tzoumaz
    La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a9a02888190ac201acd14c3fc31 completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125475548819086b733a80056eba5 completed March 23, 2026, 11:34 a.m.
NEDg Description generation batch_69c128753cd8819096edb3c817bfae10 completed March 23, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_69c129134ce08190ada54a7b3eda27f4 completed March 23, 2026, 11:50 a.m.
Created at: March 22, 2026, 4:13 p.m.