Triple
T9658147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Palace |
E233513
|
entity |
| Predicate | materialOfFacade |
P19176
|
FINISHED |
| Object | green stone |
—
|
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: green stone | Statement: [Green Palace, materialOfFacade, green stone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialOfFacade Context triple: [Green Palace, materialOfFacade, green stone]
-
A.
exteriorMaterial
chosen
Indicates the material that forms the outer surface or outer construction of an object or structure.
-
B.
façadeType
Indicates the specific kind or style of façade that characterizes or is applied to a building or structure.
-
C.
frontageMaterial
Indicates the material used on the exterior front-facing surface of a structure or property.
-
D.
façadeDescription
Indicates a textual description that characterizes the appearance, style, or features of a building’s façade.
-
E.
wallMaterial
Indicates that one entity is the material from which a wall or walls of another entity are constructed.
- 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_69ca848c1ba88190b84b410cd14627fc |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bdeb04081909ee582084e502ff6 |
completed | April 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b3239c8190b3ae3b9bd121e4bd |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:14 p.m.