Triple
T2167548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serpukhovsko–Timiryazevskaya Line |
E46944
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Tulskaya
Tulskaya is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Tulskaya Square area in southern Moscow.
|
E289295
|
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: Tulskaya | Statement: [Serpukhovsko–Timiryazevskaya Line, hasStation, Tulskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tulskaya Context triple: [Serpukhovsko–Timiryazevskaya Line, hasStation, Tulskaya]
-
A.
Voykovskaya
Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
-
B.
Timiryazevskaya
Timiryazevskaya is a Moscow Metro station serving the northern part of the city on the Serpukhovsko–Timiryazevskaya Line.
-
C.
Verkhnyaya Troitsa
Verkhnyaya Troitsa is a rural locality in Russia best known as the birthplace of Soviet statesman and longtime nominal head of state Mikhail Kalinin.
-
D.
Byk River
The Byk River is a tributary watercourse in Eastern Europe that flows through Moldova before joining the Dniester River.
-
E.
Urzhum
Urzhum is a small historic town in Kirov Oblast, Russia, known as the birthplace of prominent Soviet leader Sergei Kirov.
- 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: Tulskaya Triple: [Serpukhovsko–Timiryazevskaya Line, hasStation, Tulskaya]
Generated description
Tulskaya is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Tulskaya Square area in southern Moscow.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tulskaya Target entity description: Tulskaya is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Tulskaya Square area in southern Moscow.
-
A.
Voykovskaya
Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
-
B.
Timiryazevskaya
Timiryazevskaya is a Moscow Metro station serving the northern part of the city on the Serpukhovsko–Timiryazevskaya Line.
-
C.
Verkhnyaya Troitsa
Verkhnyaya Troitsa is a rural locality in Russia best known as the birthplace of Soviet statesman and longtime nominal head of state Mikhail Kalinin.
-
D.
Byk River
The Byk River is a tributary watercourse in Eastern Europe that flows through Moldova before joining the Dniester River.
-
E.
Urzhum
Urzhum is a small historic town in Kirov Oblast, Russia, known as the birthplace of prominent Soviet leader Sergei Kirov.
- 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbeac9d688190bfa68715e173771e |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf266ed881909206c87c69a2ea95 |
completed | March 10, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69afafa8012481909c0b4d07c8803bf7 |
completed | March 10, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb02231588190a2c6dbaf22c15b14 |
completed | March 10, 2026, 5:46 a.m. |
Created at: March 4, 2026, 7:45 p.m.