Triple
T32858124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas Underground Salt Museum |
E840434
|
entity |
| Predicate | operatesWithinIndustry |
P19086
|
FINISHED |
| Object | salt 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: salt mining | Statement: [Kansas Underground Salt Museum, operatesWithinIndustry, salt mining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesWithinIndustry Context triple: [Kansas Underground Salt Museum, operatesWithinIndustry, salt mining]
-
A.
operatesWithin
Indicates that one entity carries out its activities, functions, or operations inside the scope, boundaries, or jurisdiction defined by another entity.
-
B.
containsIndustry
Indicates that one entity includes or encompasses a particular industry within its scope, structure, or operations.
-
C.
isPartOfIndustry
chosen
Indicates that one entity belongs to, operates within, or is categorized under a particular industry sector.
-
D.
hasPrincipalIndustry
Indicates that an entity’s main or primary industry of operation is the specified industry.
-
E.
overseesIndustry
Indicates that one entity has supervisory or regulatory authority over the activities, operations, or standards of a particular industry.
- 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_69f34942465c819099b3fb47f9044f58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a00315632a8819092290f455babd7ee |
completed | May 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_6a002f54a0dc81909b0e54c5e110e67c |
completed | May 10, 2026, 7:10 a.m. |
Created at: May 1, 2026, 1:17 a.m.