Triple
T27461073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Châteauvillain |
E692744
|
entity |
| Predicate | includesSurroundingRuralAreas |
P14399
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [canton of Châteauvillain, includesSurroundingRuralAreas, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSurroundingRuralAreas Context triple: [canton of Châteauvillain, includesSurroundingRuralAreas, true]
-
A.
hasRuralArea
chosen
Indicates that an entity includes, is associated with, or contains a countryside or sparsely populated geographic area.
-
B.
hasRuralDistricts
Indicates that an entity is associated with, contains, or is administratively linked to one or more rural districts.
-
C.
hasRuralSection
Indicates that an entity includes, contains, or is associated with a portion or segment located in a rural area.
-
D.
isInRuralAreaOf
Indicates that one entity is located within the rural area or countryside region associated with another entity.
-
E.
servesRuralArea
Indicates that an entity provides services or support specifically to people or communities located in rural areas.
- 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_69ef5207903881909427745cda05d27a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
Created at: April 27, 2026, 12:50 p.m.