Triple

T15107289
Position Surface form Disambiguated ID Type / Status
Subject BDQ E360819 entity
Predicate icaoCode P419 FINISHED
Object VABO E360820 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: VABO | Statement: [BDQ, icaoCode, VABO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VABO
Context triple: [BDQ, icaoCode, VABO]
  • A. VABO chosen
    VABO is the ICAO airport code assigned to Vadodara Airport in Gujarat, India.
  • B. 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.
  • C. VABP
    VABP is the ICAO airport code for Raja Bhoj Airport, the primary airport serving Bhopal in the Indian state of Madhya Pradesh.
  • D. VABB
    VABB is the ICAO airport code for Chhatrapati Shivaji Maharaj International Airport, the primary international airport serving Mumbai, India.
  • E. VOBZ
    VOBZ is the ICAO airport code assigned to Vijayawada Airport in Andhra 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058af8988190977d998f85893836 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7e912ac8190bd0e0c9cdbbd0194 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:05 a.m.