Triple
T37274788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VEMR |
E924615
|
entity |
| Predicate | hasAirportICAOFormat |
P155924
|
FINISHED |
| Object | VxMR |
—
|
LITERAL 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: VxMR | Statement: [VEMR, hasAirportICAOFormat, VxMR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAirportICAOFormat Context triple: [VEMR, hasAirportICAOFormat, VxMR]
-
A.
hasIcaoAirport
chosen
Indicates that an entity is associated with an airport identified by a specific ICAO (International Civil Aviation Organization) airport code.
-
B.
hasIcaoCodeFormat
Indicates that an entity’s ICAO code conforms to a specified structural or formatting pattern.
-
C.
hasAirportCodeType
Indicates that an airport code is associated with a specific classification or type (e.g., IATA, ICAO, FAA).
-
D.
isCargoAirportCode
Indicates that an airport code specifically designates an airport primarily used for cargo operations.
-
E.
hasIATAFunction
Indicates that an entity has a specific role, status, or function as defined by the International Air Transport Association (IATA).
- F. None of above.
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_69f76eacdd8c819094080d3991e6d37c |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.