Triple
T7198112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawarden |
E168666
|
entity |
| Predicate | distanceToMold |
P75753
|
FINISHED |
| Object | about 10 miles north-east |
—
|
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: about 10 miles north-east | Statement: [Hawarden, distanceToMold, about 10 miles north-east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMold Context triple: [Hawarden, distanceToMold, about 10 miles north-east]
-
A.
mouldedDepth
Indicates the depth dimension that has been formed or shaped into an object during a moulding process.
-
B.
distanceFromBath
Indicates the spatial distance between an entity and a specified bath or bathing facility.
-
C.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
D.
distanceFromMhamid
Indicates the spatial distance between an entity and the reference location Mhamid.
-
E.
distanceToStowOnTheWold
Indicates the measured distance between a given location and the place named Stow-on-the-Wold.
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e92a5d288190955f703470e75bf3 |
completed | March 27, 2026, 8:31 p.m. |
| PD | Predicate disambiguation | batch_69c6e757fed4819091b0a096e3befc3a |
completed | March 27, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69c6e8fd9b848190b2b1beea5698422b |
completed | March 27, 2026, 8:30 p.m. |
Created at: March 27, 2026, 2:52 p.m.