Triple
T13112802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novokuznetskaya |
E311012
|
entity |
| Predicate | hasTransferTo |
P17241
|
FINISHED |
| Object | Tretyakovskaya |
E269783
|
NE FINISHED |
How this triple was built (2 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: Tretyakovskaya | Statement: [Novokuznetskaya, hasTransferTo, Tretyakovskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tretyakovskaya Context triple: [Novokuznetskaya, hasTransferTo, Tretyakovskaya]
-
A.
Tretyakovskaya
chosen
Tretyakovskaya is a Moscow Metro station known for its central location and convenient transfers between multiple lines near the Tretyakov Gallery.
-
B.
Smolny Embankment
Smolny Embankment is a riverside promenade along the Neva in Saint Petersburg, Russia, known for its views of the Smolny Cathedral and surrounding historic architecture.
-
C.
Tverskaya
Tverskaya is a Moscow Metro station located in the city center, serving the busy Tverskaya Street area with access to major commercial and cultural sites.
-
D.
Gorky Square
Gorky Square is a central public square in Nizhny Novgorod, Russia, known as a major transport hub and urban gathering place.
-
E.
Arbatskaya
Arbatskaya is a Moscow Metro station located in the city center, known for its deep-level construction and ornate, grand architectural design.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817f8ee8819084078b4bec5e4f18 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27f5c4481909bc323c9d0c83dc9 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:05 p.m.