Triple

T20766324
Position Surface form Disambiguated ID Type / Status
Subject CQX E511107 entity
Predicate denotes P129 FINISHED
Object Chatham Municipal Airport NE NERFINISHED

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: Chatham Municipal Airport | Statement: [CQX, denotes, Chatham Municipal Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chatham Municipal Airport
Context triple: [CQX, denotes, Chatham Municipal Airport]
  • A. Chatham Municipal Airport chosen
    Chatham Municipal Airport is a public general aviation airport serving the town of Chatham on Cape Cod in Massachusetts.
  • B. Atlantic Municipal Airport
    Atlantic Municipal Airport is a public general aviation airport serving the city of Atlantic and the surrounding region in southwestern Iowa.
  • C. Norwood Memorial Airport
    Norwood Memorial Airport is a public general aviation airport serving the town of Norwood and the surrounding Greater Boston area in Massachusetts.
  • D. Lee C. Fine Memorial Airport
    Lee C. Fine Memorial Airport is a public airport serving general aviation traffic for the Lake of the Ozarks region in central Missouri.
  • E. Hawthorne Municipal Airport
    Hawthorne Municipal Airport is a public airport in Hawthorne, California, serving general aviation and corporate traffic in the Los Angeles metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24ceab8819094e331c57abe6879 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:36 p.m.