Triple
T26045728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capurrius |
E647823
|
entity |
| Predicate | likelyGeographicAssociation |
P62106
|
FINISHED |
| Object | Liguria region of Italy |
—
|
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: Liguria region of Italy | Statement: [Capurrius, likelyGeographicAssociation, Liguria region of Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: likelyGeographicAssociation Context triple: [Capurrius, likelyGeographicAssociation, Liguria region of Italy]
-
A.
typicalGeographicalAssociation
Indicates a usual or characteristic geographical connection between entities, such as a place commonly associated with a person, group, or phenomenon.
-
B.
likelyLocatedIn
Indicates that an entity is probably situated within or associated with a particular location, though not with absolute certainty.
-
C.
likelyRegion
chosen
Indicates that an entity is probably located in, associated with, or originates from a particular geographic region.
-
D.
regionallyAssociatedWith
Indicates that two entities are connected or related based on sharing the same or overlapping geographic or regional context.
-
E.
isGeographicalEntity
Indicates that something exists as a distinct geographic feature, area, or place within physical space.
- 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_69e77e8d419481908004e6318d28aaab |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6065a844c81908e04d361469aa3c5 |
completed | May 2, 2026, 2:12 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 22, 2026, 9:10 a.m.