Triple
T22996546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pictures of Dust |
E572209
|
entity |
| Predicate | locationOfMaterialSource |
P66733
|
FINISHED |
| Object | museum floors |
—
|
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: museum floors | Statement: [Pictures of Dust, locationOfMaterialSource, museum floors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfMaterialSource Context triple: [Pictures of Dust, locationOfMaterialSource, museum floors]
-
A.
materialSource
Indicates that one entity serves as the origin or provider of the material or substance used by another entity.
-
B.
materializationLocation
Indicates the place or setting where something comes into physical existence or is brought into a concrete form.
-
C.
sourceLocatedOn
chosen
Indicates that the source entity is physically situated on the surface or area of the target entity.
-
D.
hasSourceMaterial
Indicates that something is derived from, based on, or created using a particular source material.
-
E.
sourceMaterialType
Indicates the type or category of material from which something originates or is derived.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f3186c81909e0d5177029a72ae |
completed | April 29, 2026, 4:02 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:50 p.m.