Triple
T25679953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruno Le Roux |
E643911
|
entity |
| Predicate | officeLocation (as Minister of the Interior of France) |
P48856
|
FINISHED |
| Object | Place Beauvau, 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: Place Beauvau, Paris | Statement: [Bruno Le Roux, officeLocation (as Minister of the Interior of France), Place Beauvau, Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeLocation (as Minister of the Interior of France) Context triple: [Bruno Le Roux, officeLocation (as Minister of the Interior of France), Place Beauvau, Paris]
-
A.
officeStartTime (Minister of the Interior)
Indicates the date and/or time at which a person began serving as Minister of the Interior.
-
B.
officeEndTime (Minister of the Interior)
Indicates the time at which a person's tenure as Minister of the Interior comes to an end.
-
C.
commissionerResidence
Indicates the place where a commissioner lives or has their official residence.
-
D.
isLocatedInDiplomaticQuarter
Indicates that one entity is situated within or belongs to the designated diplomatic quarter area.
-
E.
placeOfOffice
chosen
Indicates the location where an office or official position is held or based.
- 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 21, 2026, 7:46 p.m.