Triple

T11321787
Position Surface form Disambiguated ID Type / Status
Subject Sahar International Airport E268110 entity
Predicate locatedInTimeZone P109 FINISHED
Object IST E167308 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: IST | Statement: [Sahar International Airport, locatedInTimeZone, IST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IST
Context triple: [Sahar International Airport, locatedInTimeZone, IST]
  • A. IST
    IST is the Graduate School of Information Science and Technology at the University of Tokyo, a leading institution for advanced research and education in information science, computer science, and related fields.
  • B. IST chosen
    IST is the three-letter IATA airport code for Istanbul Airport, the main international gateway serving Istanbul, Turkey.
  • C. IST
    IST is the time zone used throughout Israel, corresponding to UTC+2 in standard time and UTC+3 during daylight saving time.
  • D. IST
    IST is the time zone used across India, corresponding to UTC+5:30 and commonly referred to as Indian Standard Time.
  • E. IST
    IST is a leading Portuguese engineering and technology university known for its strong research output and rigorous academic programs.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9dff37081909622623e66e17ccd completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525ed950081908ec94cfbf8849e85 completed April 19, 2026, 6:58 p.m.
Created at: April 8, 2026, 9:32 p.m.