Triple
T8708701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ostrowiec Świętokrzyski |
E206717
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Kamienna River |
E308847
|
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: Kamienna River | Statement: [Ostrowiec Świętokrzyski, river, Kamienna River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamienna River Context triple: [Ostrowiec Świętokrzyski, river, Kamienna River]
-
A.
Kamienna River
chosen
The Kamienna River is a river in south-central Poland that flows through the Świętokrzyskie region, including the town of Skarżysko-Kamienna.
-
B.
Kamienica River
The Kamienica River is a tributary watercourse in southern Poland that flows through the city of Nowy Sącz in the Lesser Poland region.
-
C.
Miedzianka River
The Miedzianka River is a small river in southwestern Poland that flows through the town of Bogatynia near the Czech and German borders.
-
D.
Kryniczanka River
Kryniczanka River is a small mountain river in southern Poland that flows through the spa town of Krynica-Zdrój in the Beskid Sądecki range.
-
E.
Mleczna River
The Mleczna River is a small river in central Poland that flows through the city of Radom and forms part of its local water system.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58ffa6a481908866b6239d1d9b92 |
completed | March 31, 2026, 11:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e38789881909e45e8d0b0489a59 |
completed | April 10, 2026, 8:31 p.m. |
Created at: March 30, 2026, 6:35 p.m.