Triple
T7996240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taf Fawr |
E186132
|
entity |
| Predicate | catchment |
P1559
|
FINISHED |
| Object | Brecon Beacons uplands |
—
|
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 uplands | Statement: [Taf Fawr, catchment, Brecon Beacons uplands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catchment Context triple: [Taf Fawr, catchment, Brecon Beacons uplands]
-
A.
basin
Indicates a geographic area where surface water drains into a common outlet, such as a river, lake, or ocean.
-
B.
drainageBasin
chosen
Indicates the area of land where all precipitation and surface water flow are collected and drained toward a particular river, lake, or other water body.
-
C.
hasMajorTownInCatchment
Indicates that a catchment area includes at least one major town within its geographic or service coverage.
-
D.
inflowWatercourse
Indicates that one watercourse flows into or feeds another water body or watercourse.
-
E.
catchmentArea
Indicates the geographic area from which something (such as a facility, service, or natural feature) draws or collects people, resources, or water.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c97968481908d261b3f0bd6b8e6 |
completed | March 31, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69cb0483d3b48190b250c7603d747bca |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:17 p.m.