Triple
T33322126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elidir Fawr |
E853166
|
entity |
| Predicate | hasNorthernSlopes |
P189868
|
FINISHED |
| Object | Dinorwig slate quarries |
E311862
|
NE 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: Dinorwig slate quarries | Statement: [Elidir Fawr, hasNorthernSlopes, Dinorwig slate quarries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNorthernSlopes Context triple: [Elidir Fawr, hasNorthernSlopes, Dinorwig slate quarries]
-
A.
isNorthernmost
Indicates that one entity is located farther north than all other comparable entities in a given set or region.
-
B.
hasNorthernmostIsland
Indicates that one geographic entity possesses or contains the island located furthest to the north within a specified area or group.
-
C.
isNorthernmostRegionOf
Indicates that one region is the geographically furthest north among all regions within a specified larger area or entity.
-
D.
northTerminusRegion
Indicates that a specified region serves as the northern endpoint or terminus of a linear feature, route, or entity.
-
E.
liesOnNorthernSlopeOf
chosen
Indicates that one entity is situated on the northern-facing slope or side of another geographic feature.
- F. None of above.
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_6a01ac8b4ac881908aa52079c985ddac |
completed | May 11, 2026, 10:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3543321c908190ab0eeb737cbfd02e |
completed | June 19, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_6a01aa7fa7b48190b4911aa6bcabe7eb |
completed | May 11, 2026, 10:07 a.m. |
Created at: May 1, 2026, 1:33 a.m.