Triple
T6433518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iizuka, Fukuoka, Japan |
E129834
|
entity |
| Predicate | formerEconomicBase |
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: [Iizuka, Fukuoka, Japan, formerEconomicBase, coal mining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerEconomicBase Context triple: [Iizuka, Fukuoka, Japan, formerEconomicBase, coal mining]
-
A.
historicalEconomicBase
chosen
Indicates the primary type of economic activity or production that historically underpinned or sustained an entity’s economy.
-
B.
formerEconomicActivity
Indicates that an entity previously engaged in a specified economic activity but no longer does so.
-
C.
hasCurrentEconomicBase
Indicates that an entity presently relies on a specified economic sector, activity, or resource as the primary foundation of its economy.
-
D.
regionalEconomyType
Indicates the type or classification of an economy associated with a specific region.
-
E.
formerBusinessModel
Indicates that an entity previously operated under a particular business model, but no longer does so.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0693de6ac81909f3e330363a52102 |
completed | March 22, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69c060f96980819091bab9335922a457 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:45 p.m.