Triple
T20044561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place de la Révolution |
E497522
|
entity |
| Predicate | approximateRenamingDateFromPlaceDeLaRévolutionToPlaceDeLaConcorde |
P138482
|
FINISHED |
| Object | 1795 |
—
|
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: 1795 | Statement: [Place de la Révolution, approximateRenamingDateFromPlaceDeLaRévolutionToPlaceDeLaConcorde, 1795]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateRenamingDateFromPlaceDeLaRévolutionToPlaceDeLaConcorde Context triple: [Place de la Révolution, approximateRenamingDateFromPlaceDeLaRévolutionToPlaceDeLaConcorde, 1795]
-
A.
yearMovedToParis
Indicates the year in which an entity moved to Paris.
-
B.
endDateInGregorianYear1793_1794
Indicates that the end date of an event or state falls within the Gregorian calendar years 1793 or 1794.
-
C.
officeStartTime (Mayor of 7th arrondissement)
Indicates the time at which the Mayor of the 7th arrondissement officially begins their term in office.
-
D.
dateOfDeGaulleParade
Indicates the specific date on which the de Gaulle parade took place.
-
E.
startDateInGregorianYear1793_1794
Indicates that the start date of an event or entity falls within the Gregorian calendar years 1793 or 1794.
- F. None of above. chosen
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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662eea09481908d1001165e9d719c |
completed | April 20, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:37 p.m.