Triple
T26219918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Designs for the Valois Tapestries |
E655737
|
entity |
| Predicate | locationOfTapestries |
P53354
|
FINISHED |
| Object | Uffizi Gallery |
—
|
NE NERFINISHED |
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: Uffizi Gallery | Statement: [Designs for the Valois Tapestries, locationOfTapestries, Uffizi Gallery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfTapestries Context triple: [Designs for the Valois Tapestries, locationOfTapestries, Uffizi Gallery]
-
A.
placeOfDepiction
Indicates the location or setting where the depicted subject is shown as being situated in the representation.
-
B.
hasWallPaintingsOn
Indicates that wall paintings are present on or applied to a specified surface or structure.
-
C.
hallLocatedNear
Indicates that a hall is situated close to another specified place or entity in physical space.
-
D.
palaceLocatedIn
Indicates that a palace is situated within or belongs to a specific geographic or administrative location.
-
E.
exhibitLocation
chosen
Indicates the place or venue where something is displayed, presented, or put on exhibit.
- 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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: April 26, 2026, 8:55 p.m.