Triple

T6511959
Position Surface form Disambiguated ID Type / Status
Subject Gambier Islands E150157 entity
Predicate hasIsland P970 FINISHED
Object Tepapuri
Tepapuri is one of the smaller islands that form part of the remote Gambier Islands archipelago in French Polynesia.
 E631764 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: Tepapuri | Statement: [Gambier Islands, hasIsland, Tepapuri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tepapuri
Context triple: [Gambier Islands, hasIsland, Tepapuri]
  • A. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • B. Nakawa
    Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
  • C. Tsurugizaki
    Tsurugizaki was the original name of the Imperial Japanese Navy vessel that was later converted into and commissioned as the light aircraft carrier Shōhō during World War II.
  • D. Togoshi
    Togoshi is a residential and commercial neighborhood in Tokyo’s Shinagawa ward, known for its traditional shopping streets and local atmosphere.
  • E. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • 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: Tepapuri
Triple: [Gambier Islands, hasIsland, Tepapuri]
Generated description
Tepapuri is one of the smaller islands that form part of the remote Gambier Islands archipelago in French Polynesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tepapuri
Target entity description: Tepapuri is one of the smaller islands that form part of the remote Gambier Islands archipelago in French Polynesia.
  • A. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • B. Nakawa
    Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
  • C. Tsurugizaki
    Tsurugizaki was the original name of the Imperial Japanese Navy vessel that was later converted into and commissioned as the light aircraft carrier Shōhō during World War II.
  • D. Togoshi
    Togoshi is a residential and commercial neighborhood in Tokyo’s Shinagawa ward, known for its traditional shopping streets and local atmosphere.
  • E. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f3c5eb88190a56723acd8096dd8 completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7580ad55081908bb7c70fca29cb22 completed March 28, 2026, 4:24 a.m.
NEDg Description generation batch_69c75ae6e40881908ad8ee098251f8ae completed March 28, 2026, 4:36 a.m.
NED2 Entity disambiguation (via description) batch_69c75b3ca3b8819083ea7f2a6f48239a completed March 28, 2026, 4:38 a.m.
Created at: March 27, 2026, 1:44 p.m.