Triple
T4763192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhondda (Senedd constituency) |
E105745
|
entity |
| Predicate | historicalEconomicBaseOfArea |
P10778
|
FINISHED |
| Object | coal mining |
—
|
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: coal mining | Statement: [Rhondda (Senedd constituency), historicalEconomicBaseOfArea, coal mining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalEconomicBaseOfArea Context triple: [Rhondda (Senedd constituency), historicalEconomicBaseOfArea, coal mining]
-
A.
historicalEconomicBase
chosen
Indicates the primary type of economic activity or production that historically underpinned or sustained an entity’s economy.
-
B.
economicImpactRegion
Indicates the region or geographic area that experiences or is affected by a particular economic impact.
-
C.
regionalEconomyType
Indicates the type or classification of an economy associated with a specific region.
-
D.
historicallyBasedIn
Indicates that one entity is located in or associated with a place as its base of operations during a specific historical period.
-
E.
isEconomicCenter
Indicates that an entity functions as a primary hub for economic activity, such as trade, finance, or industry, within a region or system.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd686ef1b08190ad60375592c9d6c0 |
completed | March 20, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69bd622807f881908e4bcb14f7731bac |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.