Triple
T22711919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | island of San Stefano (Murano) |
E561623
|
entity |
| Predicate | locatedInNorthernItaly |
P149412
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [island of San Stefano (Murano), locatedInNorthernItaly, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInNorthernItaly Context triple: [island of San Stefano (Murano), locatedInNorthernItaly, true]
-
A.
locatedInRegionOfItaly
Indicates that an entity is geographically situated within a specific region of Italy.
-
B.
locatedInNorthernEurope
Indicates that the subject is geographically situated within the region of Northern Europe.
-
C.
isLargestUrbanCenterAtTipOfItalianPeninsula
Indicates that a city is the biggest urban center located at the southern tip of the Italian Peninsula.
-
D.
locatedInNorthern
Indicates that one entity is situated in the northern part or region of another entity.
-
E.
nearestMajorItalianRegion
Indicates the relationship where a location is associated with the geographically closest major administrative region of Italy.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790998fc8190962e21a28dd08d29 |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:18 p.m.