Triple
T22054973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuressaare Airport |
E544981
|
entity |
| Predicate | distanceToCityCentreKilometres |
P127524
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Kuressaare Airport, distanceToCityCentreKilometres, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCityCentreKilometres Context triple: [Kuressaare Airport, distanceToCityCentreKilometres, 3]
-
A.
roadDistanceToCityCentre_km
chosen
Indicates the distance in kilometers from a location to the city centre when traveling by road.
-
B.
isFartherFromCityCenterThan
Indicates that one location is at a greater distance from the city center than another location.
-
C.
distanceFromNearestSettlementKilometers
Indicates the distance, measured in kilometers, from an entity’s location to the closest human settlement.
-
D.
distanceToWokingTownCentre
Indicates the spatial distance between a given location and the center of Woking town.
-
E.
distanceFromRegionalCapital
Indicates the measured spatial distance between a given place and its corresponding regional capital.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285681848190a0bbe18d504d1f34 |
completed | April 28, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:26 p.m.