Triple
T30316499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 13R/31L |
E771067
|
entity |
| Predicate | ICAOAirportCodeOfLocation |
P419
|
FINISHED |
| Object | KCBM |
—
|
NE NERFINISHED |
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: KCBM | Statement: [Runway 13R/31L, ICAOAirportCodeOfLocation, KCBM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ICAOAirportCodeOfLocation Context triple: [Runway 13R/31L, ICAOAirportCodeOfLocation, KCBM]
-
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.
airfieldCode
Indicates that an entity is identified by a specific airfield code used to uniquely reference that airfield.
-
C.
airportCodeFAA
Indicates that an airport is identified by a specific FAA (Federal Aviation Administration) airport code.
-
D.
airportCodeContext
Indicates that an airport code is being used or interpreted within a specific contextual framework (such as a region, system, or standard) that defines its meaning.
-
E.
ICAOairport
Indicates that an entity is an airport identified or classified according to the ICAO (International Civil Aviation Organization) airport coding system.
- 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68193b2b08190a00f08dbba490563 |
completed | May 2, 2026, 10:58 p.m. |
| PD | Predicate disambiguation | batch_69f67603526c81908295a1ece8727c66 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:51 p.m.