Triple

T21570989
Position Surface form Disambiguated ID Type / Status
Subject OYSN E532281 entity
Predicate associatedWithIATA P12360 FINISHED
Object SAH 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: SAH | Statement: [OYSN, associatedWithIATA, SAH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAH
Context triple: [OYSN, associatedWithIATA, SAH]
  • A. SAH chosen
    SAH is the IATA airport code for Sanaʽa International Airport, the main airport serving Yemen’s capital city.
  • B. SDAH
    SDAH is the station code for Sealdah, one of the busiest and most important railway terminals in Kolkata, India.
  • C. TIA
    TIA is the IATA airport code for Tirana International Airport, the main air gateway to Albania’s capital city.
  • D. TIA
    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.
  • E. TIA
    TIA is the custom audio-visual chip in the Atari 2600 responsible for generating its distinctive graphics and sound.
  • 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9cc5c448190887a836f577d01ba completed April 27, 2026, 4:45 a.m.
Created at: April 16, 2026, 6:30 p.m.