Triple
T17554621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santo Niño de Cebu |
E427557
|
entity |
| Predicate | imageMaterial |
P127906
|
FINISHED |
| Object | wooden statue |
—
|
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: wooden statue | Statement: [Santo Niño de Cebu, imageMaterial, wooden statue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageMaterial Context triple: [Santo Niño de Cebu, imageMaterial, wooden statue]
-
A.
materialDepicted
Indicates that a work or representation visually portrays or includes a particular material as part of its subject.
-
B.
texture
Indicates the surface quality or feel of an entity as perceived by touch or appearance, such as being smooth, rough, soft, or coarse.
-
C.
materialEffect
Indicates that one material causes, influences, or brings about a change in the properties, behavior, or state of another material or system.
-
D.
exampleMaterial
Indicates that something serves as a representative or illustrative material or sample of something else.
-
E.
materialParameter
Indicates a relationship where a specific parameter or property is associated with, or characterizes, a material in a given context.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45620983c81909e71f938ce934efa |
completed | April 19, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb50b448190a59dd4be33c76db7 |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:50 a.m.