Triple

T7478802
Position Surface form Disambiguated ID Type / Status
Subject John Wayne Airport E176696 entity
Predicate servesCity P82 FINISHED
Object Santa Ana, California E34944 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: Santa Ana, California | Statement: [John Wayne Airport, servesCity, Santa Ana, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Ana, California
Context triple: [John Wayne Airport, servesCity, Santa Ana, California]
  • A. Santa Ana chosen
    Santa Ana is a major city in Orange County, California, known as a dense urban and governmental center within the Greater Los Angeles metropolitan area.
  • B. Santa Ana
    Santa Ana is a barangay (village-level administrative division) within the highly urbanized city of Taguig in Metro Manila, Philippines.
  • C. Santa Ana
    Santa Ana is a suburban city in Costa Rica known for its upscale residential areas, commercial development, and proximity to the capital, San José.
  • D. Santa Ana
    Santa Ana is a small inhabited island in the Solomon Islands’ Makira-Ulawa Province, known for its traditional culture and coastal village communities.
  • E. Santa Ana
    Santa Ana is a landlocked agricultural municipality in the province of Pampanga in the Philippines, known for its farming communities and local festivals.
  • 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_69c69f236ce08190a04d7679f03b29b2 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f4f13f548190a8cc59165735b30e completed March 27, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861396b608190985ecef2d0886994 completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:42 p.m.