Triple
T28174367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julii Sabini |
E715548
|
entity |
| Predicate | hasPossibleGeographicAssociation |
P146651
|
FINISHED |
| Object | Sabine region |
—
|
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: Sabine region | Statement: [Julii Sabini, hasPossibleGeographicAssociation, Sabine region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPossibleGeographicAssociation Context triple: [Julii Sabini, hasPossibleGeographicAssociation, Sabine region]
-
A.
typicalGeographicalAssociation
Indicates a usual or characteristic geographical connection between entities, such as a place commonly associated with a person, group, or phenomenon.
-
B.
hasGeographicConnectionTo
chosen
Indicates a relationship where two entities are linked through a shared or relevant geographic feature, location, or spatial association.
-
C.
hasGeographicalLocation
Indicates that an entity is situated in, or associated with, a specific geographical place or area.
-
D.
hasGeographicType
Indicates that an entity is associated with or classified by a specific type or category of geographic feature or area.
-
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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: April 27, 2026, 10:15 p.m.