Triple
T13182267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unije |
E313757
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Cres |
E576265
|
NE 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: Cres | Statement: [Unije, locatedNear, Cres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cres Context triple: [Unije, locatedNear, Cres]
-
A.
Cres
chosen
Cres is a large Croatian island in the northern Adriatic Sea, known for its rugged coastline, pristine nature, and traditional coastal towns.
-
B.
Crenna
Crenna is a surname most notably associated with American actor and director Richard Crenna, known for his roles in film and television from the mid-20th century onward.
-
C.
Cosentia
Cosentia is the ancient Latin name of the city now known as Cosenza in southern Italy, historically an important center of the Bruttii in Calabria.
-
D.
Crescentino
Crescentino is a municipality in the Piedmont region of northwestern Italy, situated in the province of Vercelli.
-
E.
Turnesa
Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c490ed081908ea54edb25c3de90 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a2e415481908ad1036376f702dc |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:15 p.m.