Triple
T37551858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grizzly Hills |
E933606
|
entity |
| Predicate | hasResourceNode |
P114090
|
FINISHED |
| Object | 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: mining | Statement: [Grizzly Hills, hasResourceNode, mining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResourceNode Context triple: [Grizzly Hills, hasResourceNode, mining]
-
A.
hasNode
chosen
Indicates that one entity contains, includes, or is associated with a particular node as part of its structure or composition.
-
B.
hasKeyResource
Indicates that an entity possesses or depends on a critical resource necessary for its function, operation, or success.
-
C.
hasResourceBase
Indicates that one entity possesses, is founded on, or derives from another entity serving as its fundamental resource or base.
-
D.
hasNodeType
Indicates that an entity is associated with, or classified as, a specific type of node within a structured system or model.
-
E.
hasMaterialResource
Indicates that an entity possesses, controls, or has access to a tangible material resource.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.