Triple
T29581584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmarthen East and Dinefwr |
E753600
|
entity |
| Predicate | hasLargestTowns |
P116601
|
FINISHED |
| Object | Ammanford |
—
|
NE NERFINISHED |
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: Ammanford | Statement: [Carmarthen East and Dinefwr, hasLargestTowns, Ammanford]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLargestTowns Context triple: [Carmarthen East and Dinefwr, hasLargestTowns, Ammanford]
-
A.
isLargestTownOn
Indicates that one town is the largest (by size, population, or another defined measure) among all towns located on a specified geographic feature or area.
-
B.
isOneOfLargestTownsIn
chosen
Indicates that a town is among the largest towns within a specified region or area.
-
C.
hasLargestVillage
Indicates that one entity possesses or contains the village that is largest in size or population within a specified context or set.
-
D.
areLargestCitiesOf
Indicates that the subject entities are the largest cities within the regions or countries specified by the object entities.
-
E.
isLargestCityIn
Indicates that one city has the greatest population or size compared to all other cities within a specified region or administrative area.
- 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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: April 28, 2026, 6:07 p.m.