Triple

T4573139
Position Surface form Disambiguated ID Type / Status
Subject Aloha Stadium E123082 entity
Predicate locatedIn P40 FINISHED
Object Halawa E95813 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: Halawa | Statement: [Aloha Stadium, locatedIn, Halawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halawa
Context triple: [Aloha Stadium, locatedIn, Halawa]
  • A. Halawa chosen
    Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
  • B. Halala
    Halala was an ancient settlement in the Roman Empire, notable as the place where Empress Faustina the Younger died.
  • C. Hallidie
    Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
  • D. Manfalut
    Manfalut is a city in Upper Egypt known as an agricultural and commercial center within the Asyut region along the Nile.
  • E. Halhul
    Halhul is a Palestinian town in the southern West Bank, north of Hebron, known for its elevated location in the Judean Mountains and its ancient historical and religious significance.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58c89a5c81909a78bf0ac64777ad completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3d709308190aeb6a71a9dabdd3c completed March 20, 2026, 11:10 p.m.
Created at: March 20, 2026, 1:10 p.m.