Triple

T9349029
Position Surface form Disambiguated ID Type / Status
Subject Taha'a E224967 entity
Predicate hasMainSettlement P2106 FINISHED
Object Tapuamu
Tapuamu is the principal village and administrative center on the island of Taha'a in French Polynesia.
 E792519 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: Tapuamu | Statement: [Taha'a, hasMainSettlement, Tapuamu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tapuamu
Context triple: [Taha'a, hasMainSettlement, Tapuamu]
  • A. Tappara
    Tappara is a prominent professional ice hockey club from Tampere, Finland, known as one of the most successful and historic teams in the Finnish Liiga.
  • B. Tupe
    Tupe is a small Andean town in Peru known for preserving the unique Jaqaru indigenous language and culture.
  • C. Arumpone
    Arumpone is the monarch who presides over the fictional realm known as the Kingdom of Bone.
  • D. Lapus Lapus
    Lapus Lapus is a popular scuba diving site off Malapascua Island in the Philippines, known for its vibrant coral reefs and diverse marine life.
  • E. Petauke
    Petauke is a town in eastern Zambia that serves as an important commercial and transport hub for the surrounding rural region.
  • 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: Tapuamu
Triple: [Taha'a, hasMainSettlement, Tapuamu]
Generated description
Tapuamu is the principal village and administrative center on the island of Taha'a in French Polynesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tapuamu
Target entity description: Tapuamu is the principal village and administrative center on the island of Taha'a in French Polynesia.
  • A. Tappara
    Tappara is a prominent professional ice hockey club from Tampere, Finland, known as one of the most successful and historic teams in the Finnish Liiga.
  • B. Tupe
    Tupe is a small Andean town in Peru known for preserving the unique Jaqaru indigenous language and culture.
  • C. Arumpone
    Arumpone is the monarch who presides over the fictional realm known as the Kingdom of Bone.
  • D. Lapus Lapus
    Lapus Lapus is a popular scuba diving site off Malapascua Island in the Philippines, known for its vibrant coral reefs and diverse marine life.
  • E. Petauke
    Petauke is a town in eastern Zambia that serves as an important commercial and transport hub for the surrounding rural region.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f1198b88190adc0b01f7c1be36e completed April 1, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e43c31008190b542a9c5aa33f30e completed April 4, 2026, 10:13 a.m.
NEDg Description generation batch_69d0e587586c8190a73ce417f0b5adec completed April 4, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69d0e5eb2ce88190973acc2cc8ce254f completed April 4, 2026, 10:20 a.m.
Created at: March 30, 2026, 7:41 p.m.