Triple
T37071550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France at the Venice Biennale |
E917594
|
entity |
| Predicate | countryPavilion |
P54456
|
FINISHED |
| Object | French Pavilion |
E1184600
|
NE 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: French Pavilion | Statement: [France at the Venice Biennale, countryPavilion, French Pavilion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryPavilion Context triple: [France at the Venice Biennale, countryPavilion, French Pavilion]
-
A.
hostCountryPavilion
chosen
Indicates that a pavilion is designated as the official exhibition space representing the host country at an event or exposition.
-
B.
featuredCountryPavilions
Indicates that certain country pavilions are highlighted or given special prominence within a larger event, exhibition, or collection.
-
C.
worldsFairPavilion
Indicates that one entity serves as a pavilion or exhibition building associated with a World's Fair event in relation to another entity.
-
D.
continentOfExhibition
Indicates that an exhibition takes place on, or is associated with, a specific continent.
-
E.
housedInCountry
Indicates that an entity is located, based, or situated within the boundaries of a specified country.
- F. None of above.
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_69f76e9771e08190a690834e3cd20654 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a0349d158b881908bfbdb501ea565ee |
completed | May 12, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3f6a0926a4819092c77608e5241234 |
completed | June 27, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_6a034750e3d48190a88ee3604a36b46d |
completed | May 12, 2026, 3:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.