Triple
T2892915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zygmunt Berling |
E63868
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Limanowa
Limanowa is a small town in southern Poland, located in the Lesser Poland Voivodeship, known for its historical significance and picturesque mountainous surroundings.
|
E307610
|
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: Limanowa | Statement: [Zygmunt Berling, placeOfBirth, Limanowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limanowa Context triple: [Zygmunt Berling, placeOfBirth, Limanowa]
-
A.
Ustka
Ustka is a Baltic Sea coastal town in northern Poland known as a popular seaside resort and fishing port.
-
B.
Kwidzyn
Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
-
C.
Kościerzyna
Kościerzyna is a historic town in northern Poland known as a local cultural and economic center within the Kashubian region.
-
D.
Łeba
Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
-
E.
Wejherowo
Wejherowo is a historic town in northern Poland known for its baroque Calvary complex and role as a local cultural and administrative center.
- 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: Limanowa Triple: [Zygmunt Berling, placeOfBirth, Limanowa]
Generated description
Limanowa is a small town in southern Poland, located in the Lesser Poland Voivodeship, known for its historical significance and picturesque mountainous surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Limanowa Target entity description: Limanowa is a small town in southern Poland, located in the Lesser Poland Voivodeship, known for its historical significance and picturesque mountainous surroundings.
-
A.
Ustka
Ustka is a Baltic Sea coastal town in northern Poland known as a popular seaside resort and fishing port.
-
B.
Kwidzyn
Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
-
C.
Kościerzyna
Kościerzyna is a historic town in northern Poland known as a local cultural and economic center within the Kashubian region.
-
D.
Łeba
Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
-
E.
Wejherowo
Wejherowo is a historic town in northern Poland known for its baroque Calvary complex and role as a local cultural and administrative center.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe062234c81909411e34db7d2683d |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0317e15248190bade0f0fd930581a |
completed | March 10, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69b034b304f8819096eda16e314912b4 |
completed | March 10, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b03c60a5988190b015a1cf05068845 |
completed | March 10, 2026, 3:44 p.m. |
Created at: March 6, 2026, 10:07 p.m.