Triple
T31582095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salon du Roi |
E805852
|
entity |
| Predicate | isWithinBuildingFunction |
P166606
|
FINISHED |
| Object | seat of the French National Assembly |
—
|
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: seat of the French National Assembly | Statement: [Salon du Roi, isWithinBuildingFunction, seat of the French National Assembly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWithinBuildingFunction Context triple: [Salon du Roi, isWithinBuildingFunction, seat of the French National Assembly]
-
A.
isLocatedInBuilding
chosen
Indicates that one entity is physically situated within or inside the structure of a particular building.
-
B.
occursInBuilding
Indicates that an event or activity takes place within a specific building.
-
C.
setInBuilding
Indicates that one entity is located within or takes place inside a particular building.
-
D.
isWithinFacility
Indicates that one entity is physically located inside the boundaries or premises of a specified facility.
-
E.
isPublicBuilding
Indicates that a building is designated for public use, access, or service rather than being privately owned or restricted.
- 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_69f348d3a86c8190a3e5e539a4dd125f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a80a55408190afca2a5c75508088 |
completed | May 3, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:24 p.m.