Triple
T19705799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vidova Gora |
E473209
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Nerežišća |
—
|
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: Nerežišća | Statement: [Vidova Gora, nearbySettlement, Nerežišća]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nerežišća Context triple: [Vidova Gora, nearbySettlement, Nerežišća]
-
A.
Nerežišća
chosen
Nerežišća is a historic inland village on the Croatian island of Brač, known for its traditional stone architecture and central location.
-
B.
Vranje
Vranje is a historic city in southern Serbia known for its Ottoman-era architecture, cultural heritage, and role as an administrative and economic center of the region.
-
C.
Grbavica
Grbavica is a neighborhood in Sarajevo, Bosnia and Herzegovina, known for its residential blocks and its association with local football culture.
-
D.
Vranić
Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
-
E.
Bjelolasica
Bjelolasica is a prominent mountain peak in Croatia known for its forested slopes and former ski facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642ba4bd08190b016b8c6664079c4 |
completed | April 20, 2026, 3:14 p.m. |
Created at: April 10, 2026, 1:46 p.m.