Triple
T14988641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crnica |
E373772
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Paraćin |
E373768
|
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: Paraćin | Statement: [Crnica, flowsThrough, Paraćin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paraćin Context triple: [Crnica, flowsThrough, Paraćin]
-
A.
Paraćin
chosen
Paraćin is a town in central Serbia known as an industrial and transportation hub in the Pomoravlje region.
-
B.
Prokletije
Prokletije is a rugged mountain range in the western Balkans, known for its dramatic peaks, deep valleys, and remote, wild landscapes spanning parts of Montenegro, Albania, and Kosovo.
-
C.
Pojuca
Pojuca is a municipality in the Brazilian state of Bahia that forms part of the greater Salvador metropolitan area.
-
D.
Bileća
Bileća is a small town and municipality in southeastern Bosnia and Herzegovina, known for its nearby artificial lake and karst landscape.
-
E.
Pavica
Pavica is a feminine given name of South Slavic origin, commonly used as a diminutive form of the name Pavao.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7148a308190a687f4d0d61397c6 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5aaeda08190846c15562e67c1fb |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 2:53 a.m.