Triple
T33604523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KCVN |
E860811
|
entity |
| Predicate | isIcaoLocationIndicatorFor |
P84797
|
FINISHED |
| Object | Clovis Regional Airport |
—
|
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: Clovis Regional Airport | Statement: [KCVN, isIcaoLocationIndicatorFor, Clovis Regional Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isIcaoLocationIndicatorFor Context triple: [KCVN, isIcaoLocationIndicatorFor, Clovis Regional Airport]
-
A.
hasIcaoAirport
Indicates that an entity is associated with an airport identified by a specific ICAO (International Civil Aviation Organization) airport code.
-
B.
hasICAOLocationIndicator
chosen
Indicates that an entity is associated with a specific ICAO location indicator code, typically identifying an airport or aerodrome in the ICAO system.
-
C.
ICAOTypeDesignator
Indicates the standardized aircraft type code assigned by ICAO that specifies the model or family of an aircraft used in aviation operations and documentation.
-
D.
isCivilAviationCode
Indicates that a given code is designated as a civil aviation identifier for an airline, airport, or related aviation entity.
-
E.
hasIcaoCodeFormat
Indicates that an entity’s ICAO code conforms to a specified structural or formatting pattern.
- 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_69f3498037c88190a4500f002b5540e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f7dde3c881908b83fdd717b08dc2 |
completed | May 3, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:41 a.m.