Triple
T32532240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tongrinne |
E831485
|
entity |
| Predicate | municipalSectionOf |
P85342
|
FINISHED |
| Object | Sombreffe |
—
|
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: Sombreffe | Statement: [Tongrinne, municipalSectionOf, Sombreffe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: municipalSectionOf Context triple: [Tongrinne, municipalSectionOf, Sombreffe]
-
A.
isMunicipalSectorOf
chosen
Indicates that one entity is a municipal-level subdivision, department, or sector that forms part of the organizational structure of another entity (typically a municipality or local government).
-
B.
hasMunicipalSections
Indicates that a municipality is divided into and associated with specific internal administrative sections or districts.
-
C.
hasMunicipalPart
Indicates that an administrative or territorial entity includes a municipality as one of its constituent parts.
-
D.
servesAsMunicipalAuthorityFor
Indicates that an entity functions as the official municipal governing or administrative authority for a specified locality or jurisdiction.
-
E.
municipalKey
Indicates a unique identifier that links an entity to a specific municipality within an administrative or geographic system.
- 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_69f34924b1cc8190ad3aca0c0f012a7e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: May 1, 2026, 1:01 a.m.