Triple

T23035122
Position Surface form Disambiguated ID Type / Status
Subject Terminal 1 E573572 entity
Predicate associatedWithIATAAirportCode P45234 FINISHED
Object DAC 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: DAC | Statement: [Terminal 1, associatedWithIATAAirportCode, DAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DAC
Context triple: [Terminal 1, associatedWithIATAAirportCode, DAC]
  • A. DAC chosen
    DAC is the three-letter IATA airport code for Hazrat Shahjalal International Airport serving Dhaka, Bangladesh.
  • B. DAC
    The DAC is the main OECD forum where major donor countries coordinate and set standards for international development cooperation and official development assistance.
  • C. DAC
    DAC (Districtus Austriae Controllatus) is Austria’s designation for high-quality, region-typical wines produced under strict geographic and production regulations.
  • D. DAC
    DAC is the commonly used abbreviation for the Daskalakis Athletic Center, a major sports and recreation facility at Drexel University in Philadelphia.
  • E. ADC
    ADC is a former U.S. federal assistance program that provided financial support to low-income families with dependent children.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1850df7fc81909ee522d99d96af0d completed April 29, 2026, 4:11 a.m.
Created at: April 17, 2026, 3:53 p.m.