Triple

T19262656
Position Surface form Disambiguated ID Type / Status
Subject VAJB E481686 entity
Predicate icaoLocationIndicator P419 FINISHED
Object VAJB 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: VAJB | Statement: [VAJB, icaoLocationIndicator, VAJB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VAJB
Context triple: [VAJB, icaoLocationIndicator, VAJB]
  • A. VAJB chosen
    VAJB is the ICAO airport code assigned to Dumna Airport, which serves the city of Jabalpur in the Indian state of Madhya Pradesh.
  • B. VAJM
    VAJM is the ICAO airport code for Jamnagar Airport in Jamnagar, Gujarat, India.
  • C. VAJA
    VAJA is the commonly used acronym for Iran’s Ministry of Intelligence, the country’s primary intelligence and security agency.
  • D. VVPB
    VVPB is the ICAO airport code assigned to Phu Bai International Airport in Huế, Vietnam.
  • E. VAB
    VAB is the commonly used abbreviation for NASA’s Vehicle Assembly Building, the massive structure at Kennedy Space Center where rockets are assembled before launch.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8ac1a8819094309db4a2e6b163 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:28 p.m.