Triple

T5966807
Position Surface form Disambiguated ID Type / Status
Subject Honolulu metropolitan area E132772 entity
Predicate containsCommunity P8617 FINISHED
Object Makakilo E296338 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: Makakilo | Statement: [Honolulu metropolitan area, containsCommunity, Makakilo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makakilo
Context triple: [Honolulu metropolitan area, containsCommunity, Makakilo]
  • A. Makakilo chosen
    Makakilo is a residential community on the island of Oʻahu in Hawaii, situated on the slopes above the ʻEwa Plain with views toward the city of Kapolei and the Pacific Ocean.
  • B. Makilala
    Makilala is a municipality in the province of North Cotabato in the Philippines, known for its agricultural economy and proximity to Mount Apo.
  • C. Makili
    Makili is a small coastal settlement on Atauro Island in East Timor, known for its traditional fishing community and proximity to rich marine biodiversity.
  • D. Mangilao
    Mangilao is a village on the eastern side of Guam known for hosting the University of Guam and Guam Community College.
  • E. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a3e06848190b1d1a191db257a07 completed March 22, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1083b22788190be47b593b30184c6 completed March 23, 2026, 9:30 a.m.
Created at: March 22, 2026, 4:03 p.m.