Triple
T15736660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baia Mare |
E381489
|
entity |
| Predicate | nearRiver |
P350
|
FINISHED |
| Object | Lăpuș River |
E561215
|
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: Lăpuș River | Statement: [Baia Mare, nearRiver, Lăpuș River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lăpuș River Context triple: [Baia Mare, nearRiver, Lăpuș River]
-
A.
Lăpuș River
chosen
The Lăpuș River is a watercourse in northwestern Romania that flows through Maramureș County and passes by the town of Seini before joining the Someș River.
-
B.
Luncavăț River
The Luncavăț River is a smaller watercourse in Romania that flows through Vâlcea County before joining the Olteț River.
-
C.
Racova River
Racova River is a minor river in eastern Romania that serves as a tributary within the Bârlad River basin.
-
D.
Răut River
The Răut River is a significant tributary of the Dniester in Moldova, flowing through several towns and cities, including Bălți and Orhei.
-
E.
Gheorghești River
The Gheorghești River is a small river in Romania that serves as a right-bank tributary within the Olteț River basin.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd6eb888190b7a9b07b76e62c0d |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002d966ffc8190aa0d9d3abf8ad593 |
completed | May 10, 2026, 7:02 a.m. |
Created at: April 10, 2026, 4:46 a.m.