Triple
T28902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Bondra |
E576
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Lutsk
Lutsk is a historic city in northwestern Ukraine, known as the administrative center of Volyn Oblast and one of the region’s oldest cultural and economic hubs.
|
E6073
|
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: Lutsk | Statement: [Peter Bondra, placeOfBirth, Lutsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lutsk Context triple: [Peter Bondra, placeOfBirth, Lutsk]
-
A.
Székesfehérvár
Székesfehérvár is a historic city in central Hungary that served as a medieval royal seat and coronation site for Hungarian kings.
-
B.
Lesser Poland Voivodeship
Lesser Poland Voivodeship is a historic and culturally significant region in southern Poland, known for its medieval cities, mountainous landscapes, and major World War II heritage sites.
-
C.
Chemnitz
Chemnitz is a city in eastern Germany known for its industrial heritage and post-reunification urban redevelopment.
-
D.
Gori
Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
-
E.
Moscow
Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural 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: Lutsk Triple: [Peter Bondra, placeOfBirth, Lutsk]
Generated description
Lutsk is a historic city in northwestern Ukraine, known as the administrative center of Volyn Oblast and one of the region’s oldest cultural and economic hubs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lutsk Target entity description: Lutsk is a historic city in northwestern Ukraine, known as the administrative center of Volyn Oblast and one of the region’s oldest cultural and economic hubs.
-
A.
Székesfehérvár
Székesfehérvár is a historic city in central Hungary that served as a medieval royal seat and coronation site for Hungarian kings.
-
B.
Lesser Poland Voivodeship
Lesser Poland Voivodeship is a historic and culturally significant region in southern Poland, known for its medieval cities, mountainous landscapes, and major World War II heritage sites.
-
C.
Chemnitz
Chemnitz is a city in eastern Germany known for its industrial heritage and post-reunification urban redevelopment.
-
D.
Wannsee
Wannsee is a lakeside district in southwestern Berlin, Germany, known for its villa colonies, recreational waterfront, and as the site of the infamous 1942 Wannsee Conference.
-
E.
Gori
Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a248751fa88190992b6262a44b54f3 |
completed | Feb. 28, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2552eef10819094c0900499fb2d8f |
completed | Feb. 28, 2026, 2:38 a.m. |
| NEDg | Description generation | batch_69a2587d06a8819090b5988f9bf22344 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a259457a4c8190808438f6ec06d8f9 |
completed | Feb. 28, 2026, 2:56 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.