Triple
T18814903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Šilo |
E460109
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Dobrinj |
—
|
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: Dobrinj | Statement: [Šilo, nearbySettlement, Dobrinj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dobrinj Context triple: [Šilo, nearbySettlement, Dobrinj]
-
A.
Dobrinj
chosen
Dobrinj is a historic village and municipality on the Croatian island of Krk, known for its traditional stone architecture and cultural heritage.
-
B.
Dobruška
Dobruška is a small historic town in the Hradec Králové Region of the Czech Republic, known for its preserved architecture and regional cultural heritage.
-
C.
Dubočica
Dubočica was a medieval region in the central Balkans that formed part of the early Serbian state under the rule of Stefan Nemanja.
-
D.
Grbavica
Grbavica is a neighborhood in Sarajevo, Bosnia and Herzegovina, known for its residential blocks and its association with local football culture.
-
E.
Brvenica
Brvenica is a village and municipality in northwestern North Macedonia, situated in the Polog region near the city of Tetovo.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3df2d3881909b336d813bbfd0aa |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.