Triple
T30143955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuibuya Dam |
E766200
|
entity |
| Predicate | faceMaterial |
P618
|
FINISHED |
| Object | concrete |
—
|
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: concrete | Statement: [Shuibuya Dam, faceMaterial, concrete]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: faceMaterial Context triple: [Shuibuya Dam, faceMaterial, concrete]
-
A.
imageMaterial
Indicates that one entity serves as the material or physical medium from which the image entity is composed or rendered.
-
B.
shadeMaterial
Indicates that one entity serves as the material or substance used to provide shade for another entity.
-
C.
frontMaterial
Indicates that one entity is the material that forms the front surface or front-facing part of another entity.
-
D.
matrixMaterial
Indicates that one material serves as the continuous matrix phase in which another component or reinforcement is embedded.
-
E.
material
chosen
Indicates that one entity is physically composed of, made from, or constructed using the substance or material represented by the other entity.
- 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_69f2247909048190ae86c2160cf8b566 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67e8a5c908190abdb6c5aadbaee82 |
completed | May 2, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:18 p.m.