Triple
T15300192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novosibirsk Metro |
E365764
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Sibirskaya
Sibirskaya is a station on the Novosibirsk Metro system in Novosibirsk, Russia.
|
E1150805
|
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: Sibirskaya | Statement: [Novosibirsk Metro, hasStation, Sibirskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sibirskaya Context triple: [Novosibirsk Metro, hasStation, Sibirskaya]
-
A.
Yakut
Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
-
B.
Ust-Sheksna
Ust-Sheksna is the former historical name of the Russian town now known as Rybinsk, an important port city on the Volga River.
-
C.
Tungus
Tungus is an older term historically used to refer to the Evenki people and their language of Siberia.
-
D.
Kolyma River
The Kolyma River is a major waterway in northeastern Siberia, Russia, known for its harsh Arctic environment and historical association with Soviet-era labor camps.
-
E.
Ozyornaya
Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
- 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: Sibirskaya Triple: [Novosibirsk Metro, hasStation, Sibirskaya]
Generated description
Sibirskaya is a station on the Novosibirsk Metro system in Novosibirsk, Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sibirskaya Target entity description: Sibirskaya is a station on the Novosibirsk Metro system in Novosibirsk, Russia.
-
A.
Yakut
Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
-
B.
Ust-Sheksna
Ust-Sheksna is the former historical name of the Russian town now known as Rybinsk, an important port city on the Volga River.
-
C.
Tungus
Tungus is an older term historically used to refer to the Evenki people and their language of Siberia.
-
D.
Kolyma River
The Kolyma River is a major waterway in northeastern Siberia, Russia, known for its harsh Arctic environment and historical association with Soviet-era labor camps.
-
E.
Ozyornaya
Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0368869f8819098cf9e7801e37548 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01e47d8c8190844d45dda9a3e5ea |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff02ec353881909c7b7a7ba60d0dbc |
completed | May 9, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff035170248190a9aca4345996c661 |
completed | May 9, 2026, 9:50 a.m. |
Created at: April 10, 2026, 3:15 a.m.