Triple
T31143781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Mutria |
E793862
|
entity |
| Predicate | locatedOnBorderOfRegions |
P162618
|
FINISHED |
| Object | Campania–Molise border |
—
|
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: Campania–Molise border | Statement: [Monte Mutria, locatedOnBorderOfRegions, Campania–Molise border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnBorderOfRegions Context triple: [Monte Mutria, locatedOnBorderOfRegions, Campania–Molise border]
-
A.
borderRegionOf
Indicates that one region lies along, touches, or forms part of the boundary of another region.
-
B.
borderRegionsInclude
Indicates that the specified border area encompasses or contains the referenced regions within its boundaries.
-
C.
borderRegion
Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
-
D.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
E.
разположенНаГраницаМежду
chosen
Indicates that something is located on or along the boundary between two entities.
- 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_69f224d2b3a48190aa9dd26fbf6eab1a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0154b16a3c8190b808a460ae3a91ac |
completed | May 11, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_6a01539f19d88190b2de63f5262b1074 |
completed | May 11, 2026, 3:57 a.m. |
Created at: April 29, 2026, 9:06 p.m.