Triple

T5620476
Position Surface form Disambiguated ID Type / Status
Subject TEC bus lines E147587 entity
Predicate brand P1500 FINISHED
Object TEC E534795 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: TEC | Statement: [TEC bus lines, brand, TEC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TEC
Context triple: [TEC bus lines, brand, TEC]
  • A. TEC
    TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
  • B. TEC chosen
    TEC is a public transport company in Belgium that operates regional bus and other transit services, primarily in the Walloon region.
  • C. T-MEC
    T-MEC is the Spanish-language name for the United States–Mexico–Canada Agreement, the trade pact that replaced NAFTA in North America.
  • D. TC
    TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
  • E. TC
    TC is the commonly used abbreviation for Portugal’s Constitutional Court, the supreme body responsible for reviewing the constitutionality of laws and ensuring compliance with the Portuguese Constitution.
  • 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_69c00906f2a88190a992c66b13d606d4 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02211c8f4819090d19656c6eac2d4 completed March 22, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a0ed3748190875aacdf5e9ee211 completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:40 p.m.