Triple
T30845588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boulevard des Capucines (Monet) |
E785622
|
entity |
| Predicate | exhibited in city |
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: [Boulevard des Capucines (Monet), exhibited in city, Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exhibited in city Context triple: [Boulevard des Capucines (Monet), exhibited in city, Paris]
-
A.
exhibitedInCity
chosen
Indicates that an exhibition or display of an entity took place within a specific city.
-
B.
exhibitedAs
Indicates that something is presented or displayed in a particular context, such as in a show, gallery, or exhibition.
-
C.
exhibitedBy
Indicates that something (such as a quality, behavior, or characteristic) is shown, displayed, or demonstrated by a particular entity.
-
D.
exhibitedDuring
Indicates that something was presented, displayed, or shown over the course of a specified time period or event.
-
E.
exhibitedWith
Indicates that two or more entities were presented or displayed together as part of the same exhibition or show.
- 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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:46 p.m.