Triple

T1538220
Position Surface form Disambiguated ID Type / Status
Subject Innu E32802 entity
Predicate notableCommunity P1113 FINISHED
Object Pakua Shipi E176619 NE FINISHED

How this triple was built (2 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: Pakua Shipi | Statement: [Innu, notableCommunity, Pakua Shipi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pakua Shipi
Context triple: [Innu, notableCommunity, Pakua Shipi]
  • A. Unamen Shipu chosen
    Unamen Shipu is an Innu First Nations community in Quebec, Canada, known for its strong preservation of Innu culture, language, and traditional way of life along the Lower North Shore.
  • B. Naikaku
    Naikaku is the Japanese term for the Cabinet, the executive branch of Japan’s national government headed by the Prime Minister.
  • C. Etajima
    Etajima is a city in Hiroshima Prefecture, Japan, historically known as the site of the Imperial Japanese Naval Academy.
  • D. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • E. Tora
    Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9082c186c81909c5c4c1a8a47c603 completed March 5, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad3706935481909455528b1bc4ce6c completed March 8, 2026, 8:44 a.m.
Created at: March 4, 2026, 7:26 p.m.