Triple
T9100666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salaryevo station |
E218141
|
entity |
| Predicate | hasAdjacentStation |
P231
|
FINISHED |
| Object | Rumyantsevo station |
E326238
|
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: Rumyantsevo station | Statement: [Salaryevo station, hasAdjacentStation, Rumyantsevo station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rumyantsevo station Context triple: [Salaryevo station, hasAdjacentStation, Rumyantsevo station]
-
A.
Rumyantsevo station
chosen
Rumyantsevo station is a Moscow Metro station located on the Sokolnicheskaya Line, serving the Rumyantsevo area in southwest Moscow.
-
B.
Rybatskoye station
Rybatskoye station is a terminal metro station on the Saint Petersburg Metro serving the southeastern Rybatskoye residential and industrial area.
-
C.
Timiryazevskaya station
Timiryazevskaya station is a Moscow Metro station that serves as a key stop and namesake on the Serpukhovsko–Timiryazevskaya Line.
-
D.
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.
-
E.
Olkhovaya station
Olkhovaya station is a station on the Sokolnicheskaya Line of the Moscow Metro, serving passengers in the southeastern part of the city.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9711babc8190a336812dd08d9c73 |
completed | April 1, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0479a58c48190acd4a4af21aa01c3 |
completed | April 3, 2026, 11:04 p.m. |
Created at: March 30, 2026, 7:15 p.m.