Triple

T13454409
Position Surface form Disambiguated ID Type / Status
Subject Saint Ann Catholic Church E311191 entity
Predicate locatedIn P40 FINISHED
Object Kaneohe E59567 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: Kaneohe | Statement: [Saint Ann Catholic Church, locatedIn, Kaneohe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaneohe
Context triple: [Saint Ann Catholic Church, locatedIn, Kaneohe]
  • A. Kaneohe chosen
    Kaneohe is a residential town on the windward side of Oahu in Hawaii, known for its lush landscapes, views of the Koʻolau Mountains, and access to Kaneohe Bay.
  • B. Kapolei
    Kapolei is a rapidly growing master-planned community on the western side of Oahu in Hawaii, often referred to as Oahu’s “Second City” due to its expanding residential, commercial, and governmental centers.
  • C. Waipahu
    Waipahu is a former sugar plantation town and residential community located on the island of Oahu in Hawaii.
  • D. Waialae
    Waialae is a residential neighborhood in Honolulu, Hawaii, known for its proximity to Waikiki and the upscale Kahala area.
  • E. Kalaheo
    Kalaheo is a small residential community on the island of Kauai in Hawaii, known for its hillside neighborhoods, coffee farms, and views over the island’s south shore.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaefc52448190b30d7999f44a9765 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00179824c88190aeef28a08eb1a0c9 completed May 10, 2026, 5:28 a.m.
Created at: April 9, 2026, 9:41 p.m.