Triple
T30351727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albrook Army Airfield |
E772011
|
entity |
| Predicate | ICAOcodeAfterConversion |
P419
|
FINISHED |
| Object | MPMG |
—
|
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: MPMG | Statement: [Albrook Army Airfield, ICAOcodeAfterConversion, MPMG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ICAOcodeAfterConversion Context triple: [Albrook Army Airfield, ICAOcodeAfterConversion, MPMG]
-
A.
ICAOcode
chosen
Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
-
B.
IATAcode
Indicates the three-letter IATA airport or airline code assigned to the entity.
-
C.
icaoCodeType
Indicates that the relationship specifies or classifies the ICAO (International Civil Aviation Organization) code associated with an entity.
-
D.
previousICAOcode
Indicates that one entity was the former ICAO (International Civil Aviation Organization) code previously assigned to the other entity.
-
E.
ICAOCodeCS300
Indicates that an entity has the ICAO aircraft type designator corresponding to the CS300 aircraft model.
- 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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6823af4a4819095c725800c2be63e |
completed | May 2, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:56 p.m.