Triple
T9977056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaporizhian Sich |
E196357
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Nova Sich
Nova Sich was the final fortified administrative and military center of the Zaporizhian Cossacks in what is now southern Ukraine.
|
E832762
|
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: Nova Sich | Statement: [Zaporizhian Sich, capital, Nova Sich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nova Sich Context triple: [Zaporizhian Sich, capital, Nova Sich]
-
A.
Kato Nevrokopi
Kato Nevrokopi is a town in northern Greece known for its harsh winters and record-low temperatures, often considered one of the coldest inhabited places in the country.
-
B.
Dairen
Dairen, now known as Dalian, is a major port city in northeastern China that historically served as an important strategic and commercial hub under various foreign leases and administrations.
-
C.
Safonovo
Safonovo is a small industrial town in western Russia known for its role in the regional energy and manufacturing sectors within Smolensk Oblast.
-
D.
Khimki
Khimki is a city in Moscow Oblast, Russia, forming part of the Moscow metropolitan area and known for its proximity to major transport hubs and industrial facilities.
-
E.
Yupa
Yupa is an indigenous Cariban language spoken by the Yukpa people in parts of Colombia and Venezuela.
- 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: Nova Sich Triple: [Zaporizhian Sich, capital, Nova Sich]
Generated description
Nova Sich was the final fortified administrative and military center of the Zaporizhian Cossacks in what is now southern Ukraine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nova Sich Target entity description: Nova Sich was the final fortified administrative and military center of the Zaporizhian Cossacks in what is now southern Ukraine.
-
A.
Kato Nevrokopi
Kato Nevrokopi is a town in northern Greece known for its harsh winters and record-low temperatures, often considered one of the coldest inhabited places in the country.
-
B.
Dairen
Dairen, now known as Dalian, is a major port city in northeastern China that historically served as an important strategic and commercial hub under various foreign leases and administrations.
-
C.
Safonovo
Safonovo is a small industrial town in western Russia known for its role in the regional energy and manufacturing sectors within Smolensk Oblast.
-
D.
Khimki
Khimki is a city in Moscow Oblast, Russia, forming part of the Moscow metropolitan area and known for its proximity to major transport hubs and industrial facilities.
-
E.
Yupa
Yupa is an indigenous Cariban language spoken by the Yukpa people in parts of Colombia and Venezuela.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb84d0d3c8190b268582bb79c8973 |
completed | April 2, 2026, 12:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23de601f0819096004bf60ffa2d2c |
completed | April 5, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_69d241e666a0819087061bf8af397131 |
completed | April 5, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d24283caa481908d794ea2cd4f9db3 |
completed | April 5, 2026, 11:07 a.m. |
Created at: March 30, 2026, 8:48 p.m.