Triple

T10849045
Position Surface form Disambiguated ID Type / Status
Subject TollTag E256091 entity
Predicate operatorAbbreviation P43 FINISHED
Object NTTA E889770 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: NTTA | Statement: [TollTag, operatorAbbreviation, NTTA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NTTA
Context triple: [TollTag, operatorAbbreviation, NTTA]
  • A. NTTA chosen
    NTTA is the regional agency responsible for planning, building, operating, and maintaining toll roads and related transportation infrastructure in the North Texas area.
  • B. NTAA
    NTAA is the ICAO airport code for Faaʻa International Airport, the main international gateway to Tahiti in French Polynesia.
  • C. NTA
    NTA is the acronym for the National Treatment Agency for Substance Misuse, a former UK body responsible for improving drug treatment services and outcomes.
  • D. NTE
    NTE is the IATA airport code for Nantes Atlantique Airport, the main international airport serving the city of Nantes in western France.
  • E. NST
    NST is the standard time abbreviation for the Newfoundland Time Zone, which is uniquely offset by 3.5 hours from Coordinated Universal Time (UTC−3:30).
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75115e4a88190b77be46b63db0c84 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7cc0d648190afb0ce80bac7f3dc completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.