Triple
T27130555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Void (Le Vide) |
E681551
|
entity |
| Predicate | locatedInTheAdministrativeTerritorialEntityOfFirstExhibition |
P30543
|
FINISHED |
| Object | Paris |
—
|
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: Paris | Statement: [The Void (Le Vide), locatedInTheAdministrativeTerritorialEntityOfFirstExhibition, Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInTheAdministrativeTerritorialEntityOfFirstExhibition Context triple: [The Void (Le Vide), locatedInTheAdministrativeTerritorialEntityOfFirstExhibition, Paris]
-
A.
exhibitedInCity
chosen
Indicates that an exhibition or display of an entity took place within a specific city.
-
B.
exhibitedBy
Indicates that something (such as a quality, behavior, or characteristic) is shown, displayed, or demonstrated by a particular entity.
-
C.
exhibitLocation
Indicates the place or venue where something is displayed, presented, or put on exhibit.
-
D.
continentOfExhibition
Indicates that an exhibition takes place on, or is associated with, a specific continent.
-
E.
exhibitedCountry
Indicates the country in which something (such as an artwork, artifact, or exhibit) is or was displayed to the public.
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fe86cad5108190b0164b8bc6fc23ea |
completed | May 9, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69fe83c0c9888190b6fc40c7f727b569 |
completed | May 9, 2026, 12:45 a.m. |
Created at: April 27, 2026, 9:04 a.m.