Triple

T2086578
Position Surface form Disambiguated ID Type / Status
Subject Aeropuerto T2 E45364 entity
Predicate hasAlternativeName P39 FINISHED
Object Estación Aeropuerto T2 E45364 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: Estación Aeropuerto T2 | Statement: [Aeropuerto T2, hasAlternativeName, Estación Aeropuerto T2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Estación Aeropuerto T2
Context triple: [Aeropuerto T2, hasAlternativeName, Estación Aeropuerto T2]
  • A. Aeropuerto T2 chosen
    Aeropuerto T2 is a Metrobús station in Mexico City that serves Terminal 2 of the city’s international airport.
  • B. Terminal 2F
    Terminal 2F is one of the passenger terminals at Paris Charles de Gaulle Airport, primarily serving international flights with dedicated check-in, security, and boarding facilities.
  • C. Terminal 2C
    Terminal 2C is one of the passenger terminals at Paris Charles de Gaulle Airport, serving various international and European flights with check-in, boarding, and arrival facilities.
  • D. Terminal 2A
    Terminal 2A is one of the passenger terminals at Paris Charles de Gaulle Airport, serving various international and European flights with check-in, boarding, and arrival facilities.
  • E. Terminal 3
    Terminal 3 is a major domestic passenger terminal at San Francisco International Airport, primarily serving United Airlines and its partners.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba54ec048190bfe378aef1cc8086 completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae273f8e3481908c45f1686072a95d completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:41 p.m.