Triple

T2549124
Position Surface form Disambiguated ID Type / Status
Subject Royal School of Military Engineering E57976 entity
Predicate location P40 FINISHED
Object Chatham E252130 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: [Royal School of Military Engineering, location, Chatham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chatham
Context triple: [Royal School of Military Engineering, location, Chatham]
  • A. Chatham
    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 chosen
    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. Newhaven
    Newhaven is a historic coastal district of Edinburgh, Scotland, known for its former fishing village, harbor, and maritime heritage.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2e7cd4c8190a52cbbf1229441a6 completed March 7, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc02409f081909664f3041d328232 completed March 10, 2026, 6:54 a.m.
Created at: March 6, 2026, 9:47 p.m.