Triple

T12289246
Position Surface form Disambiguated ID Type / Status
Subject Ewa District E292910 entity
Predicate contains P35 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: [Ewa District, contains, Makakilo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makakilo
Context triple: [Ewa District, contains, 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. Makapili
    Makapili was a pro-Japanese Filipino militia and political organization that collaborated with the Japanese occupation forces in the Philippines during World War II.
  • E. Maoka
    Maoka is the former Japanese name of the port town now known as Kholmsk on Russia’s Sakhalin Island.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d21692481908c97edc3d602f1d5 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a995c508190b7ef77e400d03f87 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:52 p.m.