Triple

T18602836
Position Surface form Disambiguated ID Type / Status
Subject Sialkot International Airport E454659 entity
Predicate ICAOcode P419 FINISHED
Object OPST 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: OPST | Statement: [Sialkot International Airport, ICAOcode, OPST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OPST
Context triple: [Sialkot International Airport, ICAOcode, OPST]
  • A. OPST chosen
    OPST is the ICAO airport code for Sialkot International Airport in Sialkot, Pakistan.
  • B. OPPT
    OPPT is the U.S. Environmental Protection Agency office responsible for evaluating and managing chemical risks and promoting pollution prevention.
  • C. O.P.
    O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
  • D. O.P.
    O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
  • E. OPSK
    OPSK is the ICAO airport code assigned to Sukkur Airport in Pakistan.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54751d7ec81909efc4867f649002e completed April 19, 2026, 9:21 p.m.
Created at: April 10, 2026, 11:45 a.m.