Triple
T13740482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Wales Metro |
E330071
|
entity |
| Predicate | includesTown |
P847
|
FINISHED |
| Object | Treherbert |
E153372
|
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: Treherbert | Statement: [South Wales Metro, includesTown, Treherbert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Treherbert Context triple: [South Wales Metro, includesTown, Treherbert]
-
A.
Treherbert
chosen
Treherbert is a village and former coal mining community in the Rhondda Fawr valley of Rhondda Cynon Taf, Wales.
-
B.
Harrie
Harrie is a given name, typically a variant spelling of Harry, used for both males and females in various countries.
-
C.
Tearle
Tearle is an English surname most notably associated with early 20th-century stage and silent film actor Conway Tearle.
-
D.
Garth
Garth is a fictional character from the American prime-time television soap opera "Falcon Crest."
-
E.
Garth
Garth is a surname most notably associated with Leonard I. Garth, an American judge who served on the United States Court of Appeals for the Third Circuit.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0206a4b88190a60914e2b43e54f9 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6bce9881909209231f6dfcf9bf |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.