Triple
T14818380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zagyva River |
E348378
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Jászberény |
E817188
|
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: Jászberény | Statement: [Zagyva River, flowsThrough, Jászberény]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jászberény Context triple: [Zagyva River, flowsThrough, Jászberény]
-
A.
Jászberény
chosen
Jászberény is a historic town in central Hungary known as a regional cultural and economic center of the Jászság area.
-
B.
Bodrogköz
Bodrogköz is a low-lying, marshy region in northeastern Hungary known for its riverine landscapes, wetlands, and traditional rural settlements.
-
C.
Bonyhád
Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
-
D.
Mezőberény
Mezőberény is a town in southeastern Hungary known for its multicultural heritage and agricultural surroundings.
-
E.
Bóly
Bóly is a small town in southern Hungary known for its agricultural surroundings and location within Baranya County.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe4cf38819090f25ef045351d5d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5a421e88190a7cd359209ae2818 |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 1:50 a.m.