Triple
T5003929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musée gallo-romain de Saint-Romain-en-Gal – Vienne |
E112438
|
entity |
| Predicate | hasIndoorArea |
P61429
|
FINISHED |
| Object | permanent exhibition galleries |
—
|
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: permanent exhibition galleries | Statement: [Musée gallo-romain de Saint-Romain-en-Gal – Vienne, hasIndoorArea, permanent exhibition galleries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndoorArea Context triple: [Musée gallo-romain de Saint-Romain-en-Gal – Vienne, hasIndoorArea, permanent exhibition galleries]
-
A.
indoorOrOutdoor
Indicates whether an activity, event, or entity occurs inside a building (indoors) or outside in open air (outdoors).
-
B.
hasFloorArea
Indicates that an entity possesses a specified amount of floor space as a measurable area.
-
C.
hasIndoorStage
Indicates that a venue or location includes an indoor stage area suitable for performances or presentations.
-
D.
hasStandingArea
Indicates that an entity includes or provides a designated area where people can stand.
-
E.
hasCourtyardArea
Indicates that an entity includes or is associated with a courtyard and specifies the size or extent of that courtyard space.
- F. None of above. chosen
Provenance (4 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd74713fc88190916c2b04cd2e677e |
completed | March 20, 2026, 4:23 p.m. |
Created at: March 20, 2026, 1:35 p.m.