Triple
T1121304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrzanów |
E24617
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object |
Chechło
Chechło is a river in southern Poland that flows through the Lesser Poland region, including the area around the town of Chrzanów.
|
E135664
|
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: Chechło | Statement: [Chrzanów, river, Chechło]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chechło Context triple: [Chrzanów, river, Chechło]
-
A.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
B.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
C.
Dolina Chochołowska
Dolina Chochołowska is the largest and one of the most scenic valleys in the Polish Tatra Mountains, known for its extensive hiking trails and spring crocus blooms.
-
D.
Jaworzyna Krynicka
Jaworzyna Krynicka is a prominent mountain in southern Poland’s Beskid Sądecki range, known for its ski resort, hiking trails, and cable car access near the spa town of Krynica-Zdrój.
-
E.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
- 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: Chechło Triple: [Chrzanów, river, Chechło]
Generated description
Chechło is a river in southern Poland that flows through the Lesser Poland region, including the area around the town of Chrzanów.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chechło Target entity description: Chechło is a river in southern Poland that flows through the Lesser Poland region, including the area around the town of Chrzanów.
-
A.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
B.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
C.
Dolina Chochołowska
Dolina Chochołowska is the largest and one of the most scenic valleys in the Polish Tatra Mountains, known for its extensive hiking trails and spring crocus blooms.
-
D.
Jaworzyna Krynicka
Jaworzyna Krynicka is a prominent mountain in southern Poland’s Beskid Sądecki range, known for its ski resort, hiking trails, and cable car access near the spa town of Krynica-Zdrój.
-
E.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bbbe58588190a5ef6346e269d5f3 |
completed | March 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f0fac0c8190b23a976b495d1701 |
completed | March 7, 2026, 6:31 p.m. |
| NEDg | Description generation | batch_69ac6fea11408190b84d9fc54d4c4917 |
completed | March 7, 2026, 6:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac70592c5c8190a1f86378ec5f70a9 |
completed | March 7, 2026, 6:37 p.m. |
Created at: March 1, 2026, 7:43 p.m.