Triple
T18831236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunter (Australian House of Representatives division) |
E460533
|
entity |
| Predicate | notableIndustryInArea |
P133571
|
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: [Hunter (Australian House of Representatives division), notableIndustryInArea, coal mining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableIndustryInArea Context triple: [Hunter (Australian House of Representatives division), notableIndustryInArea, coal mining]
-
A.
notableIndustry
Indicates that an entity is significantly recognized or prominent within a specified industry or sector.
-
B.
notableRegionOfBusiness
Indicates that a specified geographic region is a significant or primary area in which an entity conducts its business activities.
-
C.
notableOrganizationWithin
Indicates that one organization is a prominent or significant entity operating within the scope, structure, or domain of another organization.
-
D.
notableSector
Indicates that an entity is particularly prominent, influential, or significant within a specified sector or industry.
-
E.
notableCollectionArea
Indicates that an entity is recognized for having a significant or noteworthy collection focused on a particular geographic area or region.
- F. None of above. chosen
Provenance (4 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a9992bb081908ba517a5c9d93ef3 |
completed | April 20, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:56 a.m.