Triple
T2032598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windermere railway station |
E44550
|
entity |
| Predicate | hasTaxiRank |
P24209
|
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: [Windermere railway station, hasTaxiRank, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTaxiRank Context triple: [Windermere railway station, hasTaxiRank, yes]
-
A.
hasTaxiStand
chosen
Indicates that a location or facility includes or is served by a designated taxi stand area where taxis can wait for passengers.
-
B.
hasTouristRank
Indicates that an entity is assigned a specific rank or rating based on its attractiveness or importance as a tourist destination.
-
C.
hasTransportAuthority
Indicates that one entity holds official power or responsibility to manage, regulate, or oversee transportation services or infrastructure for another entity or area.
-
D.
hasValet
Indicates that one entity is served or attended by another entity acting as its valet.
-
E.
hasRentalCarCenter
Indicates that a location or facility includes or is associated with a rental car center where vehicles can be rented.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9313134819088133fb69b8f606f |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a8125881909c0cb58b777c1faa |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.