Triple
T6840655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campbell Bay Airport |
E157563
|
entity |
| Predicate | hasICAOcode |
P419
|
FINISHED |
| Object | VOCX |
E621024
|
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: VOCX | Statement: [Campbell Bay Airport, hasICAOcode, VOCX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VOCX Context triple: [Campbell Bay Airport, hasICAOcode, VOCX]
-
A.
VOCX
chosen
VOCX is the ICAO airport code assigned to Car Nicobar Air Force Base in the Andaman and Nicobar Islands of India.
-
B.
voco
voco is a contemporary upscale hotel brand within the InterContinental Hotels Group portfolio, known for its relaxed style and locally inspired guest experiences.
-
C.
WAV
WAV is the vehicle registration code used to identify motor vehicles registered in the municipality of Wavre in Belgium.
-
D.
Speex
Speex is an open-source, patent-free audio compression codec designed primarily for efficient, high-quality speech encoding.
-
E.
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.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b4a1f88190b4f532828697fbd8 |
completed | March 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fb4f80081908198c8270633d34a |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:19 p.m.