Triple
T14088903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherkizovskaya |
E339070
|
entity |
| Predicate | hasTransferTo |
P17241
|
FINISHED |
| Object | Lokomotiv station |
E267969
|
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: Lokomotiv station | Statement: [Cherkizovskaya, hasTransferTo, Lokomotiv station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lokomotiv station Context triple: [Cherkizovskaya, hasTransferTo, Lokomotiv station]
-
A.
Lokomotiv MCC station
chosen
Lokomotiv MCC station is a passenger railway stop on Moscow’s urban rail network, serving the Moscow Central Circle line near the Lokomotiv football stadium.
-
B.
Traktorozavodskaya station
Traktorozavodskaya station is a stop on Volgograd’s Metrotram system serving the industrial Traktorozavodsky district of the city.
-
C.
Krasnoselskaya station
Krasnoselskaya station is a Moscow Metro station known for its early Soviet-era architecture and location on the system’s first metro line.
-
D.
Nikolassee station
Nikolassee station is a Berlin S-Bahn railway station in the Nikolassee district, serving as a local transit hub on the city's southwestern rail network.
-
E.
Obelya station
Obelya station is a metro station in Sofia, Bulgaria, serving as an interchange point between lines of the Sofia Metro network.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee1ce88819091c983286289337e |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0a5c9948190805c2e687c8809ff |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:21 p.m.