Triple
T5511729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weipa |
E144580
|
entity |
| Predicate | primaryResource |
P60481
|
FINISHED |
| Object | bauxite |
—
|
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: bauxite | Statement: [Weipa, primaryResource, bauxite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryResource Context triple: [Weipa, primaryResource, bauxite]
-
A.
primaryResourceType
chosen
Indicates the main or predominant type/category of resource associated with an entity or activity.
-
B.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
-
C.
primaryReference
Indicates that one entity serves as the main or authoritative source of information or citation for another entity.
-
D.
primaryComponent
Indicates that one entity serves as the main or most important component within another entity or system.
-
E.
primaryReferent
Indicates that one entity is the main or most salient referent associated with another entity among potentially multiple candidates.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f581c5081909a8f6d4653edb125 |
completed | March 22, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69c01b07bde08190b3933b96bdc70dd5 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:33 p.m.