Triple
T668585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campione d’Italia |
E12920
|
entity |
| Predicate | isSeparatedFromMainlandBy |
P18114
|
FINISHED |
| Object | Swiss territory |
—
|
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: Swiss territory | Statement: [Campione d’Italia, isSeparatedFromMainlandBy, Swiss territory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSeparatedFromMainlandBy Context triple: [Campione d’Italia, isSeparatedFromMainlandBy, Swiss territory]
-
A.
seaSeparatedFrom
Indicates that one geographic region or landmass is separated from another by a sea lying between them.
-
B.
separatedByInlandSea
Indicates that two land areas are divided from each other by an inland sea lying between them.
-
C.
hasCityOnShore
Indicates that a city is located on or directly adjacent to the shore of a body of water.
-
D.
locatedInArchipelago
Indicates that one place or geographic entity is situated within or is part of a specific archipelago.
-
E.
hasCoastlineOn
Indicates that one entity’s coastline borders or is directly adjacent to a specified body of water.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49ff921288190a2e5edb201ba69ee |
completed | March 1, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69a49d18942c819083b3d1887e505900 |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a49fcf0cb4819096edea4037ca2c03 |
completed | March 1, 2026, 8:21 p.m. |
Created at: March 1, 2026, 7:36 p.m.