Triple
T12677670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San River |
E302858
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Leżajsk
Leżajsk is a town in southeastern Poland known for its historic Bernardine basilica, Jewish heritage as a Hasidic pilgrimage site, and its regional brewery.
|
E1205565
|
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: Leżajsk | Statement: [San River, passesNear, Leżajsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leżajsk Context triple: [San River, passesNear, Leżajsk]
-
A.
Pałuki
Pałuki is a historical and ethnographic region in north-central Poland, known for its distinctive folk culture, wooden architecture, and numerous lakes.
-
B.
Ostrołęka
Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
-
C.
Łęczna
Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
-
D.
Leszno
Leszno is a town in western Poland known as a local economic and cultural center in the Greater Poland Voivodeship.
-
E.
Haczów
Haczów is a village in southeastern Poland known for its historic wooden architecture and cultural heritage, including one of the oldest and largest Gothic wooden churches in Europe.
- 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: Leżajsk Triple: [San River, passesNear, Leżajsk]
Generated description
Leżajsk is a town in southeastern Poland known for its historic Bernardine basilica, Jewish heritage as a Hasidic pilgrimage site, and its regional brewery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leżajsk Target entity description: Leżajsk is a town in southeastern Poland known for its historic Bernardine basilica, Jewish heritage as a Hasidic pilgrimage site, and its regional brewery.
-
A.
Pałuki
Pałuki is a historical and ethnographic region in north-central Poland, known for its distinctive folk culture, wooden architecture, and numerous lakes.
-
B.
Ostrołęka
Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
-
C.
Łęczna
Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
-
D.
Leszno
Leszno is a town in western Poland known as a local economic and cultural center in the Greater Poland Voivodeship.
-
E.
Haczów
Haczów is a village in southeastern Poland known for its historic wooden architecture and cultural heritage, including one of the oldest and largest Gothic wooden churches in Europe.
- 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_6a001f79c6ac81909935dace3dcc8bea |
completed | May 10, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a00217cba8c819098b038579eb51957 |
completed | May 10, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00221262288190b154d2e2c318d162 |
completed | May 10, 2026, 6:13 a.m. |
Created at: April 9, 2026, 5:20 p.m.