Triple
T35661187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villamayor sandstone |
E1030437
|
entity |
| Predicate | ironOxidesEffect |
P183584
|
FINISHED |
| Object | produce golden hue |
—
|
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: produce golden hue | Statement: [Villamayor sandstone, ironOxidesEffect, produce golden hue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ironOxidesEffect Context triple: [Villamayor sandstone, ironOxidesEffect, produce golden hue]
-
A.
effectOnMetals
Indicates the type or nature of influence that something has on metals, such as altering their properties, behavior, or state.
-
B.
formsOxideLayer
Indicates that one entity reacts with oxygen to create and maintain a surface oxide layer on another entity.
-
C.
hasErosionEffect
Indicates that one entity causes or exhibits an erosive impact or degradation effect on another entity or surface.
-
D.
oxidationLevel
Indicates the degree to which an entity has undergone oxidation, typically reflecting its loss of electrons or increase in oxidation state.
-
E.
ironBeadsMaterial
Indicates that the material composition of the beads is iron.
- 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_69f7a01efcc08190bba489a9099b8684 |
completed | May 3, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69f79e4d885881908a3612e2e75cf84f |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79f477c4c8190a35cb6d87b1dcbd1 |
completed | May 3, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:05 p.m.