Triple
T8848037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zamoskvorechye District |
E210558
|
entity |
| Predicate | hasNearbyRailwayStation |
P31869
|
FINISHED |
| Object | Paveletsky railway station |
E40633
|
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: Paveletsky railway station | Statement: [Zamoskvorechye District, hasNearbyRailwayStation, Paveletsky railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paveletsky railway station Context triple: [Zamoskvorechye District, hasNearbyRailwayStation, Paveletsky railway station]
-
A.
Paveletsky railway station
chosen
Paveletsky railway station is one of Moscow’s major rail terminals, serving long-distance, suburban, and high-speed trains and providing a key transport link between the city center and southern destinations.
-
B.
Nadezhda station
Nadezhda station is a metro station on the Sofia Metro system in Sofia, Bulgaria, serving the Nadezhda residential district.
-
C.
Cherkizovskaya station
Cherkizovskaya station is a Moscow Metro station serving the northeastern part of the city near the Cherkizovo area and major transport hubs.
-
D.
Levoberezhnaya railway station
Levoberezhnaya railway station is a suburban rail stop serving passenger traffic in the city of Khimki, near Moscow, Russia.
-
E.
Frunzenskaya station
Frunzenskaya station is a Moscow Metro station known for its deep-level construction and classic Soviet-era 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60a9194c8190bdfefc55a8fb29a3 |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf89bd3ef48190a6a2efff18db4dbd |
completed | April 3, 2026, 9:34 a.m. |
Created at: March 30, 2026, 6:49 p.m.