Triple
T31010075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of San Domenico |
E790184
|
entity |
| Predicate | isInLakesideTown |
P128880
|
FINISHED |
| Object | Castiglione del Lago |
—
|
NE NERFINISHED |
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: Castiglione del Lago | Statement: [Church of San Domenico, isInLakesideTown, Castiglione del Lago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInLakesideTown Context triple: [Church of San Domenico, isInLakesideTown, Castiglione del Lago]
-
A.
isLakeshoreCity
Indicates that a city is located on the shore of a lake.
-
B.
isInLake
Indicates that one entity is located within the body of water defined as a lake.
-
C.
isLakesideMunicipality
chosen
Indicates that a municipality is located on the shore of a lake or directly borders a lake.
-
D.
hasLakeshore
Indicates that one entity is located along or directly borders the shore of a lake associated with another entity.
-
E.
isOnIslandInLake
Indicates that one entity is located on an island that is situated within a lake associated with 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_69f224c73ca48190a1e46cb58ad4045b |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:57 p.m.