Triple
T20775307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tost |
E511339
|
entity |
| Predicate | presentDayLocation |
P40
|
FINISHED |
| Object |
Toszek
Toszek is a small historic town in southern Poland, known for its medieval castle and picturesque setting in the Silesian region.
|
E1450856
|
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: Toszek | Statement: [Tost, presentDayLocation, Toszek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toszek Context triple: [Tost, presentDayLocation, Toszek]
-
A.
Pietraszewicz
Pietraszewicz is a Polish surname associated with individuals such as Bronisław "Lot" Pietraszewicz.
-
B.
Grósz
Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
-
C.
Witos
Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
-
D.
Wąsosz
Wąsosz is a town in southwestern Poland known for its historical architecture and location within the Lower Silesian Voivodeship.
-
E.
Zbyszko
Zbyszko is a Polish given name, traditionally used as a diminutive or variant of Zbigniew and known from medieval and literary contexts.
- 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: Toszek Triple: [Tost, presentDayLocation, Toszek]
Generated description
Toszek is a small historic town in southern Poland, known for its medieval castle and picturesque setting in the Silesian region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toszek Target entity description: Toszek is a small historic town in southern Poland, known for its medieval castle and picturesque setting in the Silesian region.
-
A.
Pietraszewicz
Pietraszewicz is a Polish surname associated with individuals such as Bronisław "Lot" Pietraszewicz.
-
B.
Grósz
Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
-
C.
Witos
Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
-
D.
Wąsosz
Wąsosz is a town in southwestern Poland known for its historical architecture and location within the Lower Silesian Voivodeship.
-
E.
Zbyszko
Zbyszko is a Polish given name, traditionally used as a diminutive or variant of Zbigniew and known from medieval and literary contexts.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26b06ac81909aef3b0a0ad79a33 |
completed | April 21, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08f8b6b01c8190b2d1ed54e8e75cf7 |
completed | May 16, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_6a08fa2628e0819083493dce1d7e025c |
completed | May 16, 2026, 11:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08fab84ff0819092dfffe909d82cf8 |
completed | May 16, 2026, 11:16 p.m. |
Created at: April 16, 2026, 12:37 p.m.