Triple
T21813388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ward mining district |
E538532
|
entity |
| Predicate | charcoalProducedFrom |
P64937
|
FINISHED |
| Object | local timber |
—
|
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: local timber | Statement: [Ward mining district, charcoalProducedFrom, local timber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: charcoalProducedFrom Context triple: [Ward mining district, charcoalProducedFrom, local timber]
-
A.
coalType
Indicates the specific kind or classification of coal associated with an entity.
-
B.
coalMinedFrom
Indicates that a quantity or batch of coal has been extracted from a particular source location, such as a mine or geological deposit.
-
C.
coalTypeMined
Indicates that a particular type of coal is extracted or produced through mining at a given location or by a given agent.
-
D.
chemicalTypeProduced
Indicates that a process, reaction, or entity results in the production of a specific type or class of chemical.
-
E.
fuelTypeProduced
chosen
Indicates the type of fuel that is generated or produced by a given source, process, or facility.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc7ec1c8190a5420b44a49ae32f |
completed | April 28, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:54 p.m.