Triple

T13457128
Position Surface form Disambiguated ID Type / Status
Subject Boston street network E311263 entity
Predicate includesArea P1393 FINISHED
Object Charlestown E708192 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: Charlestown | Statement: [Boston street network, includesArea, Charlestown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlestown
Context triple: [Boston street network, includesArea, Charlestown]
  • A. Charlestown
    Charlestown is the main town and administrative center of the Caribbean island of Nevis, known for its colonial architecture and historic hot springs.
  • B. Charlestown
    Charlestown is a district in north Manchester, England, known as a primarily residential area with local amenities and community facilities.
  • C. Charlestown chosen
    Charlestown is a historic Boston neighborhood known for its colonial-era sites, including the Bunker Hill Monument and its waterfront along the Charles River.
  • D. Charlestown
    Charlestown is a small town located within the Newcastle Local Municipality in the KwaZulu-Natal province of South Africa.
  • E. Charlestown
    Charlestown is a historic Cornish harbour village on the south coast of England, known for its well-preserved Georgian port and frequent use as a filming location.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0a75008190a508060c85f73604 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739a001d08190ae5664c6670540e7 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:41 p.m.