Triple
T14935250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bust of Jean-Jacques Rousseau |
E372372
|
entity |
| Predicate | typicalDisplayLocation |
P53354
|
FINISHED |
| Object | museum |
—
|
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 | Statement: [Bust of Jean-Jacques Rousseau, typicalDisplayLocation, museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDisplayLocation Context triple: [Bust of Jean-Jacques Rousseau, typicalDisplayLocation, museum]
-
A.
typicalUseLocation
Indicates the usual or most common location where an entity is used or operates.
-
B.
platformLocation
Indicates the spatial position or placement of a platform relative to a reference point or environment.
-
C.
exhibitLocation
chosen
Indicates the place or venue where something is displayed, presented, or put on exhibit.
-
D.
showLocation
Indicates that one entity displays or reveals the position or place of another entity.
-
E.
displayLocationCity
Indicates the city where something is shown, presented, or made visible.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded647ae388190a0e97c03f2a4d832 |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:37 a.m.