Triple

T495827
Position Surface form Disambiguated ID Type / Status
Subject Tijuana International Airport E10291 entity
Predicate IATAcode P418 FINISHED
Object TIJ E54632 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: TIJ | Statement: [Tijuana International Airport, IATAcode, TIJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TIJ
Context triple: [Tijuana International Airport, IATAcode, TIJ]
  • A. TIJ chosen
    TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
  • B. TI
    TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
  • C. TJSJ
    TJSJ is the ICAO airport code for Luis Muñoz Marín International Airport, the main commercial airport serving San Juan, Puerto Rico.
  • D. TJC
    TJC is a U.S.-based nonprofit organization that accredits and certifies healthcare organizations and programs to promote quality and patient safety.
  • E. TIOH
    TIOH is the commonly used acronym for the United States Army Institute of Heraldry, the organization responsible for designing and overseeing official military symbols, insignia, and heraldic items for the U.S. Army and other federal agencies.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f115334881908ac5ab96c7f4214e completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a47d2da4488190be3146538a4f3d46 completed March 1, 2026, 5:53 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.