Triple

T6511951
Position Surface form Disambiguated ID Type / Status
Subject Gambier Islands E150157 entity
Predicate hasIsland P970 FINISHED
Object Akamaru
Akamaru is a small, remote island in the Gambier Islands of French Polynesia, known for its rugged terrain, sparse population, and traditional Polynesian character.
 E601956 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: Akamaru | Statement: [Gambier Islands, hasIsland, Akamaru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akamaru
Context triple: [Gambier Islands, hasIsland, Akamaru]
  • A. Kurō
    Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
  • B. Ebisu
    Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
  • C. Hachiko
    Hachiko was a famously loyal Akita dog in Japan, remembered for waiting daily at Shibuya Station for his deceased owner and becoming a national symbol of devotion.
  • D. Shiba
    Shiba is a central district in Minato, Tokyo, known for its mix of historic temples, business centers, and residential areas.
  • E. Chien
    Chien is a Chinese surname shared by various notable individuals across fields such as science, politics, and the arts.
  • 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: Akamaru
Triple: [Gambier Islands, hasIsland, Akamaru]
Generated description
Akamaru is a small, remote island in the Gambier Islands of French Polynesia, known for its rugged terrain, sparse population, and traditional Polynesian character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akamaru
Target entity description: Akamaru is a small, remote island in the Gambier Islands of French Polynesia, known for its rugged terrain, sparse population, and traditional Polynesian character.
  • A. Kurō
    Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
  • B. Ebisu
    Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
  • C. Hachiko
    Hachiko was a famously loyal Akita dog in Japan, remembered for waiting daily at Shibuya Station for his deceased owner and becoming a national symbol of devotion.
  • D. Shiba
    Shiba is a central district in Minato, Tokyo, known for its mix of historic temples, business centers, and residential areas.
  • E. Chien
    Chien is a Chinese surname shared by various notable individuals across fields such as science, politics, and the arts.
  • 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_69c6cb6421748190b8f2b77c77b153bc completed March 27, 2026, 6:24 p.m.
NEDg Description generation batch_69c6cd049fac81908c955caa0ccac5ba completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce00096c8190a3015bcd392e0ce4 completed March 27, 2026, 6:35 p.m.
Created at: March 27, 2026, 1:44 p.m.