Triple
T22146184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stalowa Wola County |
E547293
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Zaleszany
Zaleszany is a village in southeastern Poland, located in the Subcarpathian Voivodeship.
|
E1525370
|
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: Zaleszany | Statement: [Stalowa Wola County, contains, Zaleszany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zaleszany Context triple: [Stalowa Wola County, contains, Zaleszany]
-
A.
Zalesie
Zalesie is a historic, villa-filled residential neighborhood in the Śródmieście district of Wrocław, known for its green spaces and proximity to the Oder River.
-
B.
Zaleszczyki
Zaleszczyki is a historic town on the Dniester River, now in western Ukraine, known for its pre-war status as a popular resort and one of the warmest places in the former Polish territories.
-
C.
Zbyszko
Zbyszko is a Polish given name, traditionally used as a diminutive or variant of Zbigniew and known from medieval and literary contexts.
-
D.
Stryszawa
Stryszawa is a village in southern Poland that serves as the administrative center of Gmina Stryszawa in Lesser Poland Voivodeship.
-
E.
Zarzecze
Zarzecze is a village in southeastern Poland historically associated with Polish statesman Aleksander Skrzyński, who maintained a residence there.
- 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: Zaleszany Triple: [Stalowa Wola County, contains, Zaleszany]
Generated description
Zaleszany is a village in southeastern Poland, located in the Subcarpathian Voivodeship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zaleszany Target entity description: Zaleszany is a village in southeastern Poland, located in the Subcarpathian Voivodeship.
-
A.
Zalesie
Zalesie is a historic, villa-filled residential neighborhood in the Śródmieście district of Wrocław, known for its green spaces and proximity to the Oder River.
-
B.
Zaleszczyki
Zaleszczyki is a historic town on the Dniester River, now in western Ukraine, known for its pre-war status as a popular resort and one of the warmest places in the former Polish territories.
-
C.
Zbyszko
Zbyszko is a Polish given name, traditionally used as a diminutive or variant of Zbigniew and known from medieval and literary contexts.
-
D.
Stryszawa
Stryszawa is a village in southern Poland that serves as the administrative center of Gmina Stryszawa in Lesser Poland Voivodeship.
-
E.
Zarzecze
Zarzecze is a village in southeastern Poland historically associated with Polish statesman Aleksander Skrzyński, who maintained a residence there.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f097248190a8a3cdff1593b5b5 |
completed | April 28, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aae5b77bc819086562d9beb273ec2 |
completed | May 18, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_6a0aaf98f8548190b046af768e1d2beb |
completed | May 18, 2026, 6:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aaff022608190be73f127ee44d7d9 |
completed | May 18, 2026, 6:21 a.m. |
Created at: April 16, 2026, 8:33 p.m.