Triple

T14561414
Position Surface form Disambiguated ID Type / Status
Subject Line A (Strasbourg tramway) E341673 entity
Predicate operator P179 FINISHED
Object CTS E341672 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: CTS | Statement: [Line A (Strasbourg tramway), operator, CTS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CTS
Context triple: [Line A (Strasbourg tramway), operator, CTS]
  • A. CTS
    CTS is the acronym for the Council for Trade in Services, a World Trade Organization body responsible for overseeing the implementation and functioning of global rules on trade in services.
  • B. CTS chosen
    CTS is the public transport operator responsible for running Strasbourg’s tram and bus network in France.
  • C. CTS
    CTS is the IATA airport code for New Chitose Airport, the main international gateway serving Sapporo and the Hokkaido region of Japan.
  • D. CCT
    CCT is the station code for Kakinada Town railway station, a key rail hub in the city of Kakinada in Andhra Pradesh, India.
  • E. CTI
    CTI is the French national accreditation body responsible for evaluating and authorizing engineering degree programs.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb389d0f48190a1d9d69456d1cbe1 completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac294748190a4bfeed8c5fd9e94 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.