Triple
T21765034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caerphilly railway station |
E537261
|
entity |
| Predicate | directionFromCardiffQueenStreet |
P145868
|
FINISHED |
| Object | north |
—
|
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: north | Statement: [Caerphilly railway station, directionFromCardiffQueenStreet, north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionFromCardiffQueenStreet Context triple: [Caerphilly railway station, directionFromCardiffQueenStreet, north]
-
A.
distanceFromCardiffQueenStreet
Indicates the spatial distance between an entity’s location and Cardiff Queen Street.
-
B.
directionFromBristol
Indicates the cardinal or relative compass direction of one place or object as measured outward starting from Bristol.
-
C.
directionFromLondon
Indicates the cardinal or relative compass direction of an entity’s location when measured from London.
-
D.
directionFromManchesterCityCentre
Indicates the compass direction in which one location lies when measured outward from Manchester city centre.
-
E.
directionFromLondonKingsCross
Indicates the direction or bearing of a location when traveling from London King's Cross.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031a9a08c8190bc0588ffa0f2da44 |
completed | April 28, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69e6d054737081908aa7112975b77475 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 6:51 p.m.