Triple

T16061958
Position Surface form Disambiguated ID Type / Status
Subject Hisar E389632 entity
Predicate hasTransportFacility P2413 FINISHED
Object Hisar Airport E392288 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: Hisar Airport | Statement: [Hisar, hasTransportFacility, Hisar Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hisar Airport
Context triple: [Hisar, hasTransportFacility, Hisar Airport]
  • A. Hisar Airport chosen
    Hisar Airport is a domestic airport in the Indian state of Haryana that serves the city of Hisar and surrounding regions.
  • B. Gorgan Airport
    Gorgan Airport is a regional public airport serving the city of Gorgan and the surrounding Golestan Province in northeastern Iran.
  • C. Sabzevar Airport
    Sabzevar Airport is a regional public airport serving the city of Sabzevar and its surrounding areas in Razavi Khorasan Province, Iran.
  • D. Urmia Airport
    Urmia Airport is a regional public airport serving the city of Urmia in northwestern Iran, handling domestic flights and limited international connections.
  • E. Ardabil Airport
    Ardabil Airport is a regional airport in Ardabil, Iran, providing domestic air transport services that connect the city to other parts of the country.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183795100819097be92e6d07dc5b1 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe47a92608190993fe7f2c5957019 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:57 a.m.