Triple
T17533884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koporye Fortress |
E427005
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Koporye
Koporye is a historic village in Leningrad Oblast, Russia, best known for its medieval fortress and strategic location near the Gulf of Finland.
|
E1333077
|
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: Koporye | Statement: [Koporye Fortress, locatedIn, Koporye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koporye Context triple: [Koporye Fortress, locatedIn, Koporye]
-
A.
Lipetsk
Lipetsk is a major industrial city in western Russia, known for its steel production and status as the administrative center of Lipetsk Oblast.
-
B.
Neftekamsk
Neftekamsk is an industrial city in the Republic of Bashkortostan, Russia, known for its oil-related industries and vehicle manufacturing.
-
C.
Kaluga
Kaluga is a historic city in western Russia known as a regional administrative center and an important site in several Russian uprisings and military campaigns.
-
D.
Ryazhsk
Ryazhsk is a historic town in Ryazan Oblast, Russia, known as a former local administrative center dating back to the Russian Empire.
-
E.
Novokuybyshevsk
Novokuybyshevsk is an industrial city in Samara Oblast, Russia, known for its major oil refining and petrochemical industries.
- 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: Koporye Triple: [Koporye Fortress, locatedIn, Koporye]
Generated description
Koporye is a historic village in Leningrad Oblast, Russia, best known for its medieval fortress and strategic location near the Gulf of Finland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koporye Target entity description: Koporye is a historic village in Leningrad Oblast, Russia, best known for its medieval fortress and strategic location near the Gulf of Finland.
-
A.
Lipetsk
Lipetsk is a major industrial city in western Russia, known for its steel production and status as the administrative center of Lipetsk Oblast.
-
B.
Neftekamsk
Neftekamsk is an industrial city in the Republic of Bashkortostan, Russia, known for its oil-related industries and vehicle manufacturing.
-
C.
Kaluga
Kaluga is a historic city in western Russia known as a regional administrative center and an important site in several Russian uprisings and military campaigns.
-
D.
Ryazhsk
Ryazhsk is a historic town in Ryazan Oblast, Russia, known as a former local administrative center dating back to the Russian Empire.
-
E.
Novokuybyshevsk
Novokuybyshevsk is an industrial city in Samara Oblast, Russia, known for its major oil refining and petrochemical industries.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536a0f588190ade91d32308897a0 |
completed | April 19, 2026, 4 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05036848f081909f1f3eba56cf8a79 |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a05052b41bc819080284bc18db67d5b |
completed | May 13, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0505cbc11481908e61d90dd64f6212 |
completed | May 13, 2026, 11:14 p.m. |
Created at: April 10, 2026, 5:49 a.m.