Triple

T11183151
Position Surface form Disambiguated ID Type / Status
Subject Victoria E264592 entity
Predicate operatorIATA P12360 FINISHED
Object TP E265112 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: TP | Statement: [Victoria, operatorIATA, TP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TP
Context triple: [Victoria, operatorIATA, TP]
  • A. TP chosen
    TP is the two-letter IATA airline designator used to identify TAP Air Portugal on tickets, timetables, and flight information systems.
  • B. PT
    PT is a major left-wing political party in Brazil formally known as the Workers' Party (Partido dos Trabalhadores), historically associated with labor movements and the presidencies of Luiz Inácio Lula da Silva and Dilma Rousseff.
  • C. PT
    PT is the time standard used along the west coast of North America, including cities like Los Angeles, San Francisco, and Vancouver.
  • D. PT
    PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
  • E. TA
    TA is the standard abbreviation for *Transforming Anthropology*, a peer-reviewed academic journal focusing on critical and innovative scholarship in anthropology.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8a9c5e081908c85b41a268428fb completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483c1b4f88190b7c38b254d37c7fb completed April 19, 2026, 7:26 a.m.
Created at: April 8, 2026, 9:29 p.m.