Triple
T29493196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quartier Vivienne |
E748139
|
entity |
| Predicate | cityQuarterNumberingSystem |
P82488
|
FINISHED |
| Object | one of the 4 quartiers of the 2nd arrondissement |
—
|
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: one of the 4 quartiers of the 2nd arrondissement | Statement: [Quartier Vivienne, cityQuarterNumberingSystem, one of the 4 quartiers of the 2nd arrondissement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityQuarterNumberingSystem Context triple: [Quartier Vivienne, cityQuarterNumberingSystem, one of the 4 quartiers of the 2nd arrondissement]
-
A.
cityQuarterNumber
Indicates the specific numbered quarter or district within a city to which an entity belongs or is associated.
-
B.
situatedInQuarter
chosen
Indicates that one entity is located within or belongs to a specific quarter or district of a larger area.
-
C.
quadrangleNumber
Indicates that the subject is associated with a specific quadrangle identifier or index within a partitioned spatial or structural system.
-
D.
boroughNumber
Indicates the numerical identifier assigned to a specific borough within a larger administrative or municipal division.
-
E.
quadrant
Indicates the specific quarter or sector of a larger two-dimensional space or area in which an entity is located or classified.
- 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_69f0bd448c6881908aa6b475cefd5ddc |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c0c08688190b0957e2fb726e9f8 |
completed | May 2, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 4:16 p.m.