Triple
T12677671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San River |
E302858
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Dynów
Dynów is a small town in southeastern Poland known for its picturesque setting in the foothills of the Carpathian Mountains and its historic Jewish heritage.
|
E1011645
|
NE FINISHED |
How this triple was built (4 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: Dynów | Statement: [San River, passesNear, Dynów]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dynów Context triple: [San River, passesNear, Dynów]
-
A.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
B.
Mszana Dolna
Mszana Dolna is a small town in southern Poland situated in a picturesque valley surrounded by the mountains of the Western Beskids.
-
C.
Bukowiec
Bukowiec is a village in southwestern Poland known for its scenic location in the Karkonosze foothills and historic park-and-palace complex.
-
D.
Huczwa
Huczwa is a river in eastern Poland that flows through the Lublin region before joining the Western Bug.
-
E.
Byczyna
Byczyna is a historic small town in southwestern Poland known for its well-preserved medieval urban layout and defensive walls.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dynów Triple: [San River, passesNear, Dynów]
Generated description
Dynów is a small town in southeastern Poland known for its picturesque setting in the foothills of the Carpathian Mountains and its historic Jewish heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dynów Target entity description: Dynów is a small town in southeastern Poland known for its picturesque setting in the foothills of the Carpathian Mountains and its historic Jewish heritage.
-
A.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
B.
Mszana Dolna
Mszana Dolna is a small town in southern Poland situated in a picturesque valley surrounded by the mountains of the Western Beskids.
-
C.
Bukowiec
Bukowiec is a village in southwestern Poland known for its scenic location in the Karkonosze foothills and historic park-and-palace complex.
-
D.
Huczwa
Huczwa is a river in eastern Poland that flows through the Lublin region before joining the Western Bug.
-
E.
Byczyna
Byczyna is a historic small town in southwestern Poland known for its well-preserved medieval urban layout and defensive walls.
- F. None of above. chosen
Provenance (5 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b1dff48190923290555ece5d89 |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af47b3d48190923e731c3733428a |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b0653ef88190ad0e3a48675ecdcc |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1a539148190be7a4f16f738ca90 |
completed | May 3, 2026, 2:23 a.m. |
Created at: April 9, 2026, 5:20 p.m.