Triple

T17834692
Position Surface form Disambiguated ID Type / Status
Subject Tepalcates station E445350 entity
Predicate hasStationCode P1289 FINISHED
Object TEP NE NERFINISHED

How this triple was built (3 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: TEP | Statement: [Tepalcates station, hasStationCode, TEP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TEP
Context triple: [Tepalcates station, hasStationCode, TEP]
  • A. TEP
    TEP is the stock ticker symbol for Teleperformance, a global leader in outsourced customer experience management and business process outsourcing services.
  • B. TPE
    TPE is the three-letter IOC and international sporting code used to represent Chinese Taipei (Taiwan) in global competitions and events.
  • C. TEB
    TEB is the IATA airport code for Teterboro Airport, a major general aviation and corporate jet airport serving the New York City metropolitan area in New Jersey.
  • D. Te
    Te is the Taoist concept of inner virtue or inherent power that arises from living in harmony with the Tao.
  • E. TEC
    TEC is the abbreviation for the Transatlantic Economic Council, a high-level forum for coordinating economic policy and regulatory cooperation between the United States and the European Union.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TEP
Target entity description: TEP is the station code used to identify Tepalcates station in the Mexico City Metro system.
  • A. TEP
    TEP is the stock ticker symbol for Teleperformance, a global leader in outsourced customer experience management and business process outsourcing services.
  • B. TPE
    TPE is the three-letter IOC and international sporting code used to represent Chinese Taipei (Taiwan) in global competitions and events.
  • C. TEB
    TEB is the IATA airport code for Teterboro Airport, a major general aviation and corporate jet airport serving the New York City metropolitan area in New Jersey.
  • D. Te
    Te is the Taoist concept of inner virtue or inherent power that arises from living in harmony with the Tao.
  • E. TEC
    TEC is the abbreviation for the Transatlantic Economic Council, a high-level forum for coordinating economic policy and regulatory cooperation between the United States and the European Union.
  • F. None of above. chosen

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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d271e4481909664897cb789fe4a completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:16 a.m.