Triple
T1442138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clichy, Hauts-de-Seine, France |
E31096
|
entity |
| Predicate | departmentSeatOf |
P9699
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [Clichy, Hauts-de-Seine, France, departmentSeatOf, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: departmentSeatOf Context triple: [Clichy, Hauts-de-Seine, France, departmentSeatOf, none]
-
A.
seatOfDepartmentalCouncil
chosen
Indicates the location where a departmental council holds its official seat or headquarters.
-
B.
seatLocatedAt
Indicates that a seat is positioned or situated at a specific location or place.
-
C.
department
Indicates that one entity functions as an organizational unit or division within another, typically larger, entity.
-
D.
seatLocation
Indicates the spatial position or placement of a seat relative to a reference point or environment.
-
E.
hasSeatAt
Indicates that an entity occupies or holds a place, position, or membership within a specific group, body, or location.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55714588190a95b4f677c21cbaa |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.