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.