Triple
T34797246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Capucin |
E1003123
|
entity |
| Predicate | isInNationalBorderRegion |
P181896
|
FINISHED |
| Object | France–Italy border area |
—
|
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: France–Italy border area | Statement: [Grand Capucin, isInNationalBorderRegion, France–Italy border area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInNationalBorderRegion Context triple: [Grand Capucin, isInNationalBorderRegion, France–Italy border area]
-
A.
isBorderDistrict
Indicates that a district is located along and directly borders the boundary of a larger administrative region or country.
-
B.
hasBorderWithinCountry
Indicates that one region or area shares an internal boundary with another region or area within the same country.
-
C.
isBorderMunicipality
Indicates that a municipality is located on or directly adjacent to the border of a larger administrative region, country, or jurisdiction.
-
D.
isNATOExternalBorder
Indicates that a location or boundary lies on the outer edge of NATO territory, forming part of NATO’s external border with non-member areas.
-
E.
isInBorderTown
Indicates that an entity is located in a town situated on or very near a political or geographic border.
- F. None of above. chosen
Provenance (4 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782f416c081908bdd9b1ad456f0e2 |
completed | May 3, 2026, 5:16 p.m. |
Created at: May 3, 2026, 3:59 p.m.