Triple
T35661210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villamayor sandstone |
E1030437
|
entity |
| Predicate | localUse |
P184896
|
FINISHED |
| Object | traditional construction material in Salamanca area |
—
|
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: traditional construction material in Salamanca area | Statement: [Villamayor sandstone, localUse, traditional construction material in Salamanca area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localUse Context triple: [Villamayor sandstone, localUse, traditional construction material in Salamanca area]
-
A.
localBehavior
Indicates that a behavior or effect is determined primarily by nearby or immediate context rather than by distant or global factors.
-
B.
laterUseLocation
Indicates that an entity is located at a place where it will be used or utilized at a later time.
-
C.
localStatus
Indicates the current condition or state of an entity within a specific local context or environment.
-
D.
actualUse
Indicates that an entity is currently being used or utilized in practice, as opposed to being merely available, planned, or potential.
-
E.
municipalUse
Indicates that something is intended for, designated as, or used in connection with municipal or local government purposes.
- F. None of above. chosen
Provenance (4 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_69f76e09f87881909c954aaac176c34f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b628b17c8190aa058c1a51852a27 |
completed | May 3, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b5cadd308190a864245a21b08f9a |
completed | May 3, 2026, 8:53 p.m. |
Created at: May 3, 2026, 4:05 p.m.