Triple
T33604114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ENRY |
E860800
|
entity |
| Predicate | associatedAirportLongitude |
—
|
GENERATED |
| Object | 10.7856 E |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedAirportLongitude Context triple: [ENRY, associatedAirportLongitude, 10.7856 E]
-
A.
associatedAirport
Indicates a relationship where an entity is linked or connected to a specific airport, typically as its relevant or corresponding airport.
-
B.
associatedAirportLocalName
Indicates the local or native-language name of the airport that is associated with the given entity.
-
C.
associatedAirportFocusCityFor
Indicates that an airport serves as a designated focus city for a particular airline or carrier.
-
D.
airportLocationRelation
Indicates a spatial or administrative relationship specifying where an airport is located relative to a geographic area or jurisdiction.
-
E.
associatedAirportServes
Indicates that a given airport provides service to, or is used by, the associated entity (such as a city, region, or facility).
- F. None of above. chosen
Provenance (1 batch)
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_69f3497f35908190a2e9bbb9b96c7a3f |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:41 a.m.