Triple
T4729981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ussel |
E104980
|
entity |
| Predicate | hasLocalPublicServices |
P6352
|
FINISHED |
| Object | administrative offices |
—
|
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: administrative offices | Statement: [Ussel, hasLocalPublicServices, administrative offices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalPublicServices Context triple: [Ussel, hasLocalPublicServices, administrative offices]
-
A.
hasMunicipalService
chosen
Indicates that a municipality provides or is responsible for a specific public service to a given area, facility, or population.
-
B.
hasMunicipalServiceProvider
Indicates that a municipality is served by a specific organization or entity that provides municipal services (such as utilities, waste management, or public transport).
-
C.
hasRuralServiceTown
Indicates that a rural area or region is associated with, and typically receives services from, a specific town that functions as its service center.
-
D.
hasPublicSpaces
Indicates that an entity includes or provides areas that are accessible and usable by the general public.
-
E.
hasPublicTransitServiceLevel
Indicates the level or quality of public transit service provided to or available at a given location or entity.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6220071881909670c89d072ffb6d |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:19 p.m.