Triple

T5316890
Position Surface form Disambiguated ID Type / Status
Subject Chatham Municipal Airport E119172 entity
Predicate hasCity P316 FINISHED
Object Chatham E14195 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: Chatham | Statement: [Chatham Municipal Airport, hasCity, Chatham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chatham
Context triple: [Chatham Municipal Airport, hasCity, Chatham]
  • A. Chatham chosen
    Chatham is a coastal town on the southeastern tip of Cape Cod in Massachusetts, known for its beaches, historic lighthouse, and maritime character.
  • B. Chatham
    Chatham is a historic town in Kent, England, best known for its former Royal Navy dockyard and maritime heritage.
  • C. Chatham
    Chatham is a residential neighborhood on Chicago’s South Side known for its historic African American middle-class community and strong local institutions.
  • D. Fairhaven
    Fairhaven is a historic coastal town in southeastern Massachusetts known for its picturesque harbor, rich maritime heritage, and well-preserved 19th-century architecture.
  • E. Chatham Bay
    Chatham Bay is a secluded, scenic bay on Union Island in the Grenadines, known for its calm anchorage, sandy beach, and relaxed, off-the-beaten-path atmosphere for visiting yachts.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd854fd07c8190b4f1c3c8e618c308 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf110e89548190a5eb0bad6ab0483b completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:54 p.m.