Triple
T25338222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llangynwyd Middle |
E635334
|
entity |
| Predicate | hasLocalEconomyHistory |
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: [Llangynwyd Middle, hasLocalEconomyHistory, coal mining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalEconomyHistory Context triple: [Llangynwyd Middle, hasLocalEconomyHistory, coal mining]
-
A.
hasLocalGovernmentHistory
Indicates that an entity has a documented history or record of its local governmental structure, activities, or developments.
-
B.
historicalEconomicBase
chosen
Indicates the primary type of economic activity or production that historically underpinned or sustained an entity’s economy.
-
C.
partOfLocalEconomy
Indicates that an entity contributes to, participates in, or is integrated within the economic activities of a specific local area or community.
-
D.
hasTraditionalEconomyActivity
Indicates that an entity engages in or is associated with economic activities based on traditional practices, customs, or subsistence methods.
-
E.
historicallyBasedIn
Indicates that one entity is located in or associated with a place as its base of operations during a specific historical period.
- 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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 21, 2026, 1:32 p.m.