Triple

T4959723
Position Surface form Disambiguated ID Type / Status
Subject Janpath E111373 entity
Predicate locatedInTimeZone P109 FINISHED
Object IST E162749 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: [Janpath, locatedInTimeZone, IST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IST
Context triple: [Janpath, 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
    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 chosen
    IST is the time zone used across India, corresponding to UTC+5:30 and commonly referred to as Indian Standard Time.
  • E. ISM
    ISM is the commonly used acronym for the MERCOSUR Social Institute, a regional body focused on promoting social policies and integration among MERCOSUR member countries.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71da80008190a0d606d5091822b8 completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81e4ccc4819090223633fdb04eee completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:32 p.m.