Triple
T26263819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monterey Regional Airport |
E656922
|
entity |
| Predicate | openedAsCivilAirportYearApprox |
P17227
|
FINISHED |
| Object | 1940s |
—
|
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: 1940s | Statement: [Monterey Regional Airport, openedAsCivilAirportYearApprox, 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsCivilAirportYearApprox Context triple: [Monterey Regional Airport, openedAsCivilAirportYearApprox, 1940s]
-
A.
openedAsCivilAirport
Indicates that a facility or location began operation specifically as a civil (non-military) airport.
-
B.
airfieldOpened
Indicates that an airfield began operations or was officially opened at a certain time.
-
C.
openedAsNewAirportFor
Indicates that one airport was inaugurated to serve as a new replacement or successor facility for another airport.
-
D.
openedAsMunicipalAirport
Indicates that an airport was initially established and began operation as a municipal (city- or town-operated) airport.
-
E.
airportOpened
chosen
Indicates that an airport began operations or was officially opened at a specific time.
- 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_69ee5b4e21bc819082be98bc9ab09796 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 26, 2026, 9:11 p.m.