Triple

T7872926
Position Surface form Disambiguated ID Type / Status
Subject Silchar Airport E182781 entity
Predicate ICAO code P419 FINISHED
Object VEKU E182782 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: VEKU | Statement: [Silchar Airport, ICAO code, VEKU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VEKU
Context triple: [Silchar Airport, ICAO code, VEKU]
  • A. VEKU chosen
    VEKU is the ICAO airport code assigned to Silchar Airport in Assam, India.
  • B. UVEK
    UVEK is the German abbreviation for Switzerland’s Federal Department of the Environment, Transport, Energy and Communications, the federal ministry responsible for environmental policy, infrastructure, and related regulatory matters.
  • C. Vekoma
    Vekoma is a Dutch roller coaster and amusement ride manufacturer known worldwide for designing and building a wide range of thrill and family attractions for theme parks.
  • D.
    Vé is a Norse god, one of Odin’s brothers, associated with the creation of the world in Norse mythology.
  • E. VIKA
    VIKA is the ICAO airport code assigned to Kanpur Airport in Uttar Pradesh, India.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39a6d93881908d68386e49bea1e3 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b72cec08190ac8ea1d9676b68ce completed March 31, 2026, 5:28 a.m.
Created at: March 30, 2026, 4:56 p.m.