Triple

T12390229
Position Surface form Disambiguated ID Type / Status
Subject Kipapa Elementary School E295973 entity
Predicate city P40 FINISHED
Object Mililani E60763 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: Mililani | Statement: [Kipapa Elementary School, city, Mililani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mililani
Context triple: [Kipapa Elementary School, city, Mililani]
  • A. Mililani chosen
    Mililani is a master-planned residential community and census-designated place located in the central part of the island of Oahu in Hawaii.
  • B. Wailuku
    Wailuku is a historic town on the Hawaiian island of Maui that serves as the county seat and a cultural and administrative center.
  • C. Pāʻia
    Pāʻia is a small, laid-back town on Maui’s north shore in Hawaii, known for its surf culture, bohemian vibe, and proximity to popular windsurfing and kitesurfing beaches.
  • D. 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.
  • E. Hāna
    Hāna is a small, remote town on the eastern coast of Maui, Hawaii, known for its lush landscapes, scenic coastal views, and the famously winding Road to Hāna.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd0bcc48190bb1a59a3aaa6bfdf completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a2796cc81908b6d4cf71f39e88a completed May 8, 2026, 5:52 a.m.
Created at: April 8, 2026, 9:54 p.m.