Triple
T16313547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Wales iron industry |
E396115
|
entity |
| Predicate | majorCenter |
P164
|
FINISHED |
| Object | Aberdare |
E97367
|
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: Aberdare | Statement: [South Wales iron industry, majorCenter, Aberdare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aberdare Context triple: [South Wales iron industry, majorCenter, Aberdare]
-
A.
Aberdare
chosen
Aberdare is a town in the Cynon Valley of Rhondda Cynon Taf, Wales, historically known for its coal mining and ironworks industries.
-
B.
Torresdale
Torresdale is a residential neighborhood in the far northeastern section of Philadelphia, Pennsylvania, known for its proximity to the Delaware River and suburban character.
-
C.
Hazeldean
Hazeldean is a rural locality and small town situated within Queensland’s Somerset Region in Australia.
-
D.
Kearsley
Kearsley is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage.
-
E.
Duffield
Duffield is a village and civil parish in Derbyshire, England, situated north of Derby on the River Derwent.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288dd90d4819097bd01a7b40a54cd |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa88e8c8190b0423b60389896dc |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.