Triple
T33322548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pen-y-Pass |
E853176
|
entity |
| Predicate | carParkManagedBy |
P176490
|
FINISHED |
| Object | Snowdonia National Park Authority |
—
|
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: Snowdonia National Park Authority | Statement: [Pen-y-Pass, carParkManagedBy, Snowdonia National Park Authority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carParkManagedBy Context triple: [Pen-y-Pass, carParkManagedBy, Snowdonia National Park Authority]
-
A.
hasStationCarParkOperator
Indicates that a particular station’s car park is operated or managed by a specified operator.
-
B.
parkSystem
Indicates a relationship where an entity is part of, managed by, or associated with an organized system of parks or protected recreational areas.
-
C.
parkingStructure
Indicates that one entity is a parking facility or structure associated with another entity (such as a building, location, or organization).
-
D.
parkServed
Indicates that a particular park is provided with services or coverage by a specified entity (such as a transit line, facility, or administrative body).
-
E.
hasParkingLotOwner
Indicates that a parking lot is owned or possessed by a specific owner.
- F. None of above. chosen
Provenance (4 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_69f349685f088190b8fda44083a018a9 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e312d7fc819094dec41810f2585d |
completed | May 3, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:33 a.m.