Triple
T8408336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kutuzovsky Prospekt |
E198557
|
entity |
| Predicate | hasNearbyMetroStation |
P26735
|
FINISHED |
| Object |
Studencheskaya
Studencheskaya is a Moscow Metro station located near Kutuzovsky Prospekt in Moscow, Russia.
|
E731404
|
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: Studencheskaya | Statement: [Kutuzovsky Prospekt, hasNearbyMetroStation, Studencheskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Studencheskaya Context triple: [Kutuzovsky Prospekt, hasNearbyMetroStation, Studencheskaya]
-
A.
Taurida Academy
Taurida Academy is a higher education institution located in Simferopol, Crimea, known for its role in regional academic and scientific education.
-
B.
Novatorskaya
Novatorskaya is a metro station on Moscow’s Big Circle Line serving the southwestern part of the city.
-
C.
Ilia State University
Ilia State University is a major public research university in Tbilisi, Georgia, named in honor of the prominent Georgian writer and national figure Ilia Chavchavadze.
-
D.
Novoslobodskaya
Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
-
E.
Krasnopresnenskaya
Krasnopresnenskaya is a Moscow Metro station on the city’s circular Koltsevaya Line, known for its deep-level construction and Soviet-era architectural design.
- 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: Studencheskaya Triple: [Kutuzovsky Prospekt, hasNearbyMetroStation, Studencheskaya]
Generated description
Studencheskaya is a Moscow Metro station located near Kutuzovsky Prospekt in Moscow, Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Studencheskaya Target entity description: Studencheskaya is a Moscow Metro station located near Kutuzovsky Prospekt in Moscow, Russia.
-
A.
Taurida Academy
Taurida Academy is a higher education institution located in Simferopol, Crimea, known for its role in regional academic and scientific education.
-
B.
Novatorskaya
Novatorskaya is a metro station on Moscow’s Big Circle Line serving the southwestern part of the city.
-
C.
Ilia State University
Ilia State University is a major public research university in Tbilisi, Georgia, named in honor of the prominent Georgian writer and national figure Ilia Chavchavadze.
-
D.
Novoslobodskaya
Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
-
E.
Krasnopresnenskaya
Krasnopresnenskaya is a Moscow Metro station on the city’s circular Koltsevaya Line, known for its deep-level construction and Soviet-era architectural design.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb8315a8a8819097f6da11b909b527 |
completed | March 31, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce030dccf08190a70c0abf0bdcf244 |
completed | April 2, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_69ce07808098819087e896b87320aefd |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce08759e1c81909c96caf3b571e1ca |
completed | April 2, 2026, 6:11 a.m. |
Created at: March 30, 2026, 6:05 p.m.