Triple

T19670007
Position Surface form Disambiguated ID Type / Status
Subject VABP E472307 entity
Predicate icaoCode P419 FINISHED
Object VABP 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: VABP | Statement: [VABP, icaoCode, VABP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VABP
Context triple: [VABP, icaoCode, VABP]
  • A. VABP chosen
    VABP is the ICAO airport code for Raja Bhoj Airport, the primary airport serving Bhopal in the Indian state of Madhya Pradesh.
  • 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. VABO
    VABO is the ICAO airport code assigned to Vadodara Airport in Gujarat, India.
  • D. VABB
    VABB is the ICAO airport code for Chhatrapati Shivaji Maharaj International Airport, the primary international airport serving Mumbai, India.
  • E. VAP
    VAP is the railway station code used to identify Beijing North railway station in China’s rail network.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416b9cf8819096f44e3f9fbf86fa completed April 20, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:45 p.m.