Triple

T23302410
Position Surface form Disambiguated ID Type / Status
Subject 3GPP2 E590337 entity
Predicate coordinatesWith P1140 FINISHED
Object TIA NE NERFINISHED

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: TIA | Statement: [3GPP2, coordinatesWith, TIA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TIA
Context triple: [3GPP2, coordinatesWith, TIA]
  • A. TIA
    TIA is the IATA airport code for Tirana International Airport, the main air gateway to Albania’s capital city.
  • B. TIA chosen
    TIA is a leading U.S.-based trade association that develops standards and advocates for companies in the global information and communications technology (ICT) and telecommunications industry.
  • C. TIA
    TIA is the custom audio-visual chip in the Atari 2600 responsible for generating its distinctive graphics and sound.
  • D. TAI
    TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
  • E. TAI
    TAI is the ICAO airline designator assigned to TACA Airlines, a major Central American carrier.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972406a08190bbf355cc7a9f8432 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:04 p.m.