Triple
T27952400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Molinero (toponymic or extended form) |
E703463
|
entity |
| Predicate | hasSemanticCategory |
P104529
|
FINISHED |
| Object | occupational-place name |
—
|
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: occupational-place name | Statement: [El Molinero (toponymic or extended form), hasSemanticCategory, occupational-place name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSemanticCategory Context triple: [El Molinero (toponymic or extended form), hasSemanticCategory, occupational-place name]
-
A.
hasSemantics
Indicates that one entity carries or encodes the meaning, interpretation, or semantic content associated with another entity.
-
B.
hasSemanticsDefinedBy
Indicates that the meaning or interpretation of one entity is specified, constrained, or determined by another entity.
-
C.
hasMeaningCategory
chosen
Indicates that something is associated with a particular category of meaning or semantic type.
-
D.
hasSemanticRole
Indicates that one entity functions as a specific semantic role (such as agent, patient, or instrument) in relation to another entity or event.
-
E.
hasSemanticRestriction
Indicates that a concept or relation is constrained in meaning or usage by specific semantic conditions or limitations.
- 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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
Created at: April 27, 2026, 7:25 p.m.