Triple
T4742836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pontypridd railway station |
E105286
|
entity |
| Predicate | distanceFromCardiffCentral |
P17621
|
FINISHED |
| Object | approximately 12 km |
—
|
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: approximately 12 km | Statement: [Pontypridd railway station, distanceFromCardiffCentral, approximately 12 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromCardiffCentral Context triple: [Pontypridd railway station, distanceFromCardiffCentral, approximately 12 km]
-
A.
distanceToCardiff
chosen
Indicates the spatial distance between a given entity’s location and the city of Cardiff.
-
B.
distanceToChesterCityCentre
Indicates the measured or specified distance between a given location and the centre of Chester city.
-
C.
distanceFromCentralLondon
Indicates the spatial separation or length of travel between a given location and central London.
-
D.
distanceToBradfordCityCentre
Indicates the spatial distance between a given location and the centre of Bradford city.
-
E.
distanceFromLeeds
Indicates the spatial distance between a given entity and the location of Leeds.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64a85e9c81908e9c7bbbb998953e |
completed | March 20, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69bd6221c3b881908604f35f8de6f16b |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:19 p.m.