Triple
T9604994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salamanca |
E231945
|
entity |
| Predicate | hasRefineryType |
P2560
|
FINISHED |
| Object | oil refinery |
—
|
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: oil refinery | Statement: [Salamanca, hasRefineryType, oil refinery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRefineryType Context triple: [Salamanca, hasRefineryType, oil refinery]
-
A.
hasRefinery
Indicates that one entity possesses, operates, or is associated with a refinery facility used for processing raw materials.
-
B.
hasRefuelingSystemSupplier
Indicates that one entity serves as the supplier or provider of the refueling system for another entity.
-
C.
hasRefuellingCapabilityFor
Indicates that one entity is capable of providing or performing refuelling operations for another entity.
-
D.
hasDuneType
Indicates that one entity is characterized by or associated with a specific type or classification of dune.
-
E.
hasInfrastructureType
chosen
Indicates that an entity possesses or is associated with a specific category or type of infrastructure.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a5e4a7c8190830b5ad9762ece46 |
completed | April 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a6fd2481908efd131e207b8143 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:08 p.m.