Triple
T10269029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Przeworsk culture |
E240786
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Przeworsk
Przeworsk is a town in southeastern Poland known for its historical significance and association with the ancient Przeworsk archaeological culture.
|
E853098
|
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: Przeworsk | Statement: [Przeworsk culture, namedAfter, Przeworsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Przeworsk Context triple: [Przeworsk culture, namedAfter, Przeworsk]
-
A.
Wielbark
Wielbark is a small town in northern Poland, situated in the Warmian-Masurian Voivodeship and known historically for its connections to the ancient Wielbark archaeological culture.
-
B.
Osiek
Osiek is a small town in south-central Poland located within the administrative district of Staszów County in the Świętokrzyskie Voivodeship.
-
C.
Apolda
Apolda is a town in the German state of Thuringia, historically known for its textile and bell-founding industries.
-
D.
Kadaň
Kadaň is a historic town in the northwestern Czech Republic, known for its well-preserved medieval center and location on the Ohře River.
-
E.
Andlau
Andlau is a picturesque wine-growing village in northeastern France’s Alsace region, renowned for its historic abbey and surrounding vineyards.
- 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: Przeworsk Triple: [Przeworsk culture, namedAfter, Przeworsk]
Generated description
Przeworsk is a town in southeastern Poland known for its historical significance and association with the ancient Przeworsk archaeological culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Przeworsk Target entity description: Przeworsk is a town in southeastern Poland known for its historical significance and association with the ancient Przeworsk archaeological culture.
-
A.
Wielbark
Wielbark is a small town in northern Poland, situated in the Warmian-Masurian Voivodeship and known historically for its connections to the ancient Wielbark archaeological culture.
-
B.
Osiek
Osiek is a small town in south-central Poland located within the administrative district of Staszów County in the Świętokrzyskie Voivodeship.
-
C.
Apolda
Apolda is a town in the German state of Thuringia, historically known for its textile and bell-founding industries.
-
D.
Kadaň
Kadaň is a historic town in the northwestern Czech Republic, known for its well-preserved medieval center and location on the Ohře River.
-
E.
Andlau
Andlau is a picturesque wine-growing village in northeastern France’s Alsace region, renowned for its historic abbey and surrounding vineyards.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d27033c081908721f6f8568059f2 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f80c25888190a3e8a2c513df7043 |
completed | April 9, 2026, 12:51 a.m. |
| NEDg | Description generation | batch_69d6fcaca55c81908a48ac2a0ce24b85 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd772bc08190bf270f5fc767fb29 |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:35 a.m.