Triple
T11361164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinisi |
E269087
|
entity |
| Predicate | isLocatedInGeographicalArea |
P40
|
FINISHED |
| Object | northwestern Sicily |
—
|
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: northwestern Sicily | Statement: [Cinisi, isLocatedInGeographicalArea, northwestern Sicily]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedInGeographicalArea Context triple: [Cinisi, isLocatedInGeographicalArea, northwestern Sicily]
-
A.
containsGeographicalArea
Indicates that one geographical area spatially encompasses or includes another geographical area within its boundaries.
-
B.
isLocatedInAdministrativeArea
Indicates that one entity is situated within the geographic or jurisdictional boundaries of a specified administrative area (such as a city, county, state, or region).
-
C.
isGeographicalEntity
Indicates that something exists as a distinct geographic feature, area, or place within physical space.
-
D.
isInGeopoliticalEntity
Indicates that one entity is located within, or is a part of, a specific geopolitical unit such as a country, state, or city.
-
E.
locatedIn
chosen
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e7022d508190996f9be0847c2b41 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.