Triple
T17878323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talavera station |
E447015
|
entity |
| Predicate | locatedInCityCentreArea |
P25976
|
FINISHED |
| Object | Wellington urban area |
—
|
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: Wellington urban area | Statement: [Talavera station, locatedInCityCentreArea, Wellington urban area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInCityCentreArea Context triple: [Talavera station, locatedInCityCentreArea, Wellington urban area]
-
A.
hasCityCentreLocation
chosen
Indicates that something is located in, or directly associated with, the central area of a city.
-
B.
hasCoordinateInCityCentreApprox
Indicates that an entity’s location is approximately within the central area of a city, based on its geographic coordinates.
-
C.
cityCentreAccess
Indicates whether an entity has access to, or is reachable within, the central area of a city.
-
D.
locatedInHubOf
Indicates that one entity is situated within the central hub or core area associated with another entity.
-
E.
isLocatedDowntown
Indicates that an entity is situated within the downtown area of a city or town.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c0c46108190b8edef2572b5ba90 |
completed | April 19, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:18 a.m.