Triple

T6830261
Position Surface form Disambiguated ID Type / Status
Subject Car Nicobar Air Force Base E157118 entity
Predicate ICAOCode P419 FINISHED
Object VOCX
VOCX is the ICAO airport code assigned to Car Nicobar Air Force Base in the Andaman and Nicobar Islands of India.
E621024 NE FINISHED

How this triple was built (4 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: VOCX | Statement: [Car Nicobar Air Force Base, ICAOCode, VOCX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VOCX
Context triple: [Car Nicobar Air Force Base, ICAOCode, VOCX]
  • A. voco
    voco is a contemporary upscale hotel brand within the InterContinental Hotels Group portfolio, known for its relaxed style and locally inspired guest experiences.
  • B. WAV
    WAV is the vehicle registration code used to identify motor vehicles registered in the municipality of Wavre in Belgium.
  • C. Speex
    Speex is an open-source, patent-free audio compression codec designed primarily for efficient, high-quality speech encoding.
  • D. Versoix
    Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
  • E. G.722
    G.722 is a wideband audio codec standard that provides higher-quality voice transmission than traditional narrowband codecs, commonly used in VoIP and teleconferencing applications.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: VOCX
Triple: [Car Nicobar Air Force Base, ICAOCode, VOCX]
Generated description
VOCX is the ICAO airport code assigned to Car Nicobar Air Force Base in the Andaman and Nicobar Islands of India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VOCX
Target entity description: VOCX is the ICAO airport code assigned to Car Nicobar Air Force Base in the Andaman and Nicobar Islands of India.
  • A. voco
    voco is a contemporary upscale hotel brand within the InterContinental Hotels Group portfolio, known for its relaxed style and locally inspired guest experiences.
  • B. WAV
    WAV is the vehicle registration code used to identify motor vehicles registered in the municipality of Wavre in Belgium.
  • C. Speex
    Speex is an open-source, patent-free audio compression codec designed primarily for efficient, high-quality speech encoding.
  • D. Versoix
    Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
  • E. G.722
    G.722 is a wideband audio codec standard that provides higher-quality voice transmission than traditional narrowband codecs, commonly used in VoIP and teleconferencing applications.
  • F. None of above. chosen

Provenance (5 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d62820808190ad3c244893e88699 completed March 27, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723f73eec81908c666888a19c0b29 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c725139d748190ba9588c31b5188bd completed March 28, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_69c725749efc8190b00fb7f2e44150dd completed March 28, 2026, 12:48 a.m.
Created at: March 27, 2026, 2:18 p.m.