Triple
T8650779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danbury Municipal Airport |
E205093
|
entity |
| Predicate | hasAircraftParkingApron |
P40806
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Danbury Municipal Airport, hasAircraftParkingApron, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAircraftParkingApron Context triple: [Danbury Municipal Airport, hasAircraftParkingApron, yes]
-
A.
hasParkingApron
chosen
Indicates that a location or facility includes a designated parking apron area for vehicles or aircraft.
-
B.
aircraftFacility
Indicates that a facility is designed, equipped, or used to support the operation, maintenance, or accommodation of aircraft.
-
C.
hasHeliport
Indicates that an entity possesses or is equipped with a heliport facility for helicopter landing and takeoff.
-
D.
isPartOfAirportLayout
Indicates that something is a component or element within the overall physical or functional layout of an airport.
-
E.
hasHelipadDesignation
Indicates that an entity has been assigned a specific designation or identifier for its helipad.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48150e6c8190a7a3b92b4b640858 |
completed | March 31, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69cc45619460819091e83ffdec99c865 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:29 p.m.