Triple
T1946750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sokolnicheskaya Line |
E42070
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Kommunarka station |
E222351
|
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: Kommunarka station | Statement: [Sokolnicheskaya Line, hasStation, Kommunarka station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kommunarka station Context triple: [Sokolnicheskaya Line, hasStation, Kommunarka station]
-
A.
Kommunarka station
chosen
Kommunarka station is a southern terminal metro station on Moscow’s Sokolnicheskaya Line, serving the rapidly developing Kommunarka district.
-
B.
People’s Square Station
People’s Square Station is a major Shanghai Metro interchange hub located beneath People’s Square in central Shanghai, China.
-
C.
Traktorozavodskaya station
Traktorozavodskaya station is a stop on Volgograd’s Metrotram system serving the industrial Traktorozavodsky district of the city.
-
D.
Komsomolskaya station
Komsomolskaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
-
E.
Lichtenberg station
Lichtenberg station is a major railway and transport hub in the Lichtenberg district of Berlin, Germany, serving regional, long-distance, and urban transit lines.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb32ebae881908f7541301f0198ae |
completed | March 7, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fd173b881909fbd454fc9d7fabb |
completed | March 9, 2026, 1:18 a.m. |
Created at: March 4, 2026, 7:36 p.m.