Triple
T23770742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OGZ |
E587518
|
entity |
| Predicate | icaoCodeOfServedAirport |
P119919
|
FINISHED |
| Object | URMO |
—
|
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: URMO | Statement: [OGZ, icaoCodeOfServedAirport, URMO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: icaoCodeOfServedAirport Context triple: [OGZ, icaoCodeOfServedAirport, URMO]
-
A.
servesAirportICAO
chosen
Indicates that a transportation service or facility operates routes to or from the airport identified by the given ICAO code.
-
B.
airportServed
Indicates that a particular airport provides service to, or is used for air travel to and from, a given location or area.
-
C.
servesAirportIATA
Indicates that a transportation service or facility operates routes to or from the airport identified by the given IATA code.
-
D.
servedByAirportInOriginCity
Indicates that the origin city of a trip or route is served by a particular airport.
-
E.
airfieldCode
Indicates that an entity is identified by a specific airfield code used to uniquely reference that airfield.
- 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_69e2490d245881909028226a1393d624 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c465d7948190a4381e39f792a7b4 |
completed | April 29, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:15 p.m.