Triple
T14897754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkovysk |
E359922
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Vawkavysk
Vawkavysk is a historic town in western Belarus known for its ancient settlement sites and role as a regional administrative and cultural center.
|
E1125215
|
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: Vawkavysk | Statement: [Volkovysk, hasAlternativeName, Vawkavysk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vawkavysk Context triple: [Volkovysk, hasAlternativeName, Vawkavysk]
-
A.
Valdosta
Valdosta is a city in southern Georgia known as a regional commercial hub and home to Valdosta State University.
-
B.
Tusten, New York
Tusten, New York is a small rural town in Sullivan County known for its scenic Delaware River setting and outdoor recreation.
-
C.
Harrisena, New York
Harrisena, New York is a small hamlet within the town of Queensbury in Warren County, known for its rural character in the Adirondack region.
-
D.
Valhalla, New York
Valhalla, New York is a hamlet in the town of Mount Pleasant in Westchester County, known for its suburban character and several notable cemeteries and memorial sites.
-
E.
Rensselaer
Rensselaer is a masculine given name of English origin, now rare, that has historically appeared in the United States.
- 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: Vawkavysk Triple: [Volkovysk, hasAlternativeName, Vawkavysk]
Generated description
Vawkavysk is a historic town in western Belarus known for its ancient settlement sites and role as a regional administrative and cultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vawkavysk Target entity description: Vawkavysk is a historic town in western Belarus known for its ancient settlement sites and role as a regional administrative and cultural center.
-
A.
Valdosta
Valdosta is a city in southern Georgia known as a regional commercial hub and home to Valdosta State University.
-
B.
Tusten, New York
Tusten, New York is a small rural town in Sullivan County known for its scenic Delaware River setting and outdoor recreation.
-
C.
Harrisena, New York
Harrisena, New York is a small hamlet within the town of Queensbury in Warren County, known for its rural character in the Adirondack region.
-
D.
Valhalla, New York
Valhalla, New York is a hamlet in the town of Mount Pleasant in Westchester County, known for its suburban character and several notable cemeteries and memorial sites.
-
E.
Rensselaer
Rensselaer is a masculine given name of English origin, now rare, that has historically appeared in the United States.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded6084574819098033a9723f3e1c4 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b6966e88190a0ed475b22a77cf1 |
completed | May 8, 2026, 11:02 p.m. |
| NEDg | Description generation | batch_69fe6d199298819081207e27dfdf485f |
completed | May 8, 2026, 11:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6de49480819087b36c070c434bf7 |
completed | May 8, 2026, 11:12 p.m. |
Created at: April 10, 2026, 2:11 a.m.