Triple

T20058210
Position Surface form Disambiguated ID Type / Status
Subject Chatham railway station E499396 entity
Predicate hasStationCode P1289 FINISHED
Object CTM 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: CTM | Statement: [Chatham railway station, hasStationCode, CTM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CTM
Context triple: [Chatham railway station, hasStationCode, CTM]
  • A. CTM chosen
    CTM is the IATA airport code for Chetumal International Airport in Chetumal, Quintana Roo, Mexico.
  • B. CRTM
    CRTM is the regional public authority that plans, coordinates, and oversees the integrated public transport system in the Madrid metropolitan area.
  • C. CTC
    CTC is the commonly used abbreviation for the United Nations Security Council’s Counter-Terrorism Committee, which oversees global efforts to combat terrorism.
  • D. CTC
    CTC is the national trade union federation of Cuba that represents and coordinates the activities of Cuban workers across various sectors.
  • E. CTC
    CTC is a railway signaling and control system that allows train movements over a large area to be supervised and directed from a single centralized location.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6637325908190aefc0e27e2ed5750 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:38 p.m.