Triple

T6567845
Position Surface form Disambiguated ID Type / Status
Subject Oceano E153955 entity
Predicate hasTransportation P105 FINISHED
Object Oceano County Airport E603112 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: Oceano County Airport | Statement: [Oceano, hasTransportation, Oceano County Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oceano County Airport
Context triple: [Oceano, hasTransportation, Oceano County Airport]
  • A. Oceano County Airport chosen
    Oceano County Airport is a small public general aviation airport serving the community of Oceano in San Luis Obispo County, California.
  • B. Putnam County Airport
    Putnam County Airport is a public-use general aviation airport serving the Greencastle area and surrounding Putnam County in Indiana.
  • C. Brunswick Executive Airport
    Brunswick Executive Airport is a public airport in Brunswick, Maine, serving general aviation and business aviation on the site of the former Naval Air Station Brunswick.
  • D. Perry-Foley Airport
    Perry-Foley Airport is a public airport serving the city of Perry and surrounding areas in Taylor County, Florida.
  • E. Spriggs Payne Airport
    Spriggs Payne Airport is a domestic airport serving the city of Monrovia in Liberia.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae54afd4819091ee65aca1de60a9 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4275eec8190ba52fa4fb1bc64db completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:53 p.m.