Triple
T9545583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brecon |
E230273
|
entity |
| Predicate | locatedInNationalParkArea |
P9791
|
FINISHED |
| Object | Brecon Beacons National Park fringe |
—
|
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: Brecon Beacons National Park fringe | Statement: [Brecon, locatedInNationalParkArea, Brecon Beacons National Park fringe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInNationalParkArea Context triple: [Brecon, locatedInNationalParkArea, Brecon Beacons National Park fringe]
-
A.
withinNationalPark
chosen
Indicates that one entity is located inside the geographic boundaries of a national park designated by another entity.
-
B.
locatedInNationalLakeshore
Indicates that one place or feature is situated within the boundaries of a designated national lakeshore area.
-
C.
locatedInNationalCharacterArea
Indicates that one entity is geographically situated within the boundaries of a specified national character area.
-
D.
situatedInProtectedArea
Indicates that an entity is located within the boundaries of a designated protected area (such as a reserve, park, or conservation zone).
-
E.
isWithinPark
Indicates that one entity is located inside the boundaries of a park that contains it.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9901f2bc8190a4076f5947660df9 |
completed | April 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ccd58bd21881908b860e3ee469af13 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:01 p.m.