Triple
T2611246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kostroma Oblast |
E58778
|
entity |
| Predicate | hasHistoricTown |
P847
|
FINISHED |
| Object |
Buy
Buy is a historic town in Kostroma Oblast, Russia, known for its long-standing regional significance and traditional Russian provincial character.
|
E281344
|
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: Buy | Statement: [Kostroma Oblast, hasHistoricTown, Buy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buy Context triple: [Kostroma Oblast, hasHistoricTown, Buy]
-
A.
Zákupy
Zákupy is a small historic town in the Liberec Region of the Czech Republic, known for its Renaissance-Baroque chateau and its association with the Habsburg dynasty.
-
B.
Sellin
Sellin is a seaside resort town on the German island of Rügen, known for its historic pier and Baltic Sea beaches.
-
C.
Deal
Deal is a historic coastal town and former fishing and mining port in the county of Kent in southeast England, known for its pier, maritime heritage, and role in coastal defense.
-
D.
Sale
Sale is a town in Greater Manchester, England, known as a residential suburb within the Metropolitan Borough of Trafford.
-
E.
Business Select
Business Select is Southwest Airlines’ highest fare class, offering priority boarding, extra Rapid Rewards points, and additional perks for business and premium travelers.
- 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: Buy Triple: [Kostroma Oblast, hasHistoricTown, Buy]
Generated description
Buy is a historic town in Kostroma Oblast, Russia, known for its long-standing regional significance and traditional Russian provincial character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buy Target entity description: Buy is a historic town in Kostroma Oblast, Russia, known for its long-standing regional significance and traditional Russian provincial character.
-
A.
Zákupy
Zákupy is a small historic town in the Liberec Region of the Czech Republic, known for its Renaissance-Baroque chateau and its association with the Habsburg dynasty.
-
B.
Sellin
Sellin is a seaside resort town on the German island of Rügen, known for its historic pier and Baltic Sea beaches.
-
C.
Deal
Deal is a historic coastal town and former fishing and mining port in the county of Kent in southeast England, known for its pier, maritime heritage, and role in coastal defense.
-
D.
Sale
Sale is a town in Greater Manchester, England, known as a residential suburb within the Metropolitan Borough of Trafford.
-
E.
Business Select
Business Select is Southwest Airlines’ highest fare class, offering priority boarding, extra Rapid Rewards points, and additional perks for business and premium travelers.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd87b24e48190ad1d4ce7e63c0f3e |
completed | March 7, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83e506188190b6cd3b507dfc353c |
completed | March 10, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69af846b59508190b6f7f9b266123be0 |
completed | March 10, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af850fe6008190bf6c7c64d1078a50 |
completed | March 10, 2026, 2:42 a.m. |
Created at: March 6, 2026, 9:50 p.m.