Triple
T22106703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Begovoy District |
E546305
|
entity |
| Predicate | hasMetroStation |
P522
|
FINISHED |
| Object |
Begovaya station
Begovaya station is a Moscow Metro station serving the northwestern part of the city, located in the Begovoy District.
|
E1518243
|
NE FINISHED |
How this triple was built (4 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: Begovaya station | Statement: [Begovoy District, hasMetroStation, Begovaya station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Begovaya station Context triple: [Begovoy District, hasMetroStation, Begovaya station]
-
A.
Khimvolokno station
Khimvolokno station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
-
B.
Lesnaya station
Lesnaya station is a Saint Petersburg Metro station located in the Vyborgsky District of Saint Petersburg, Russia.
-
C.
Rybatskoye station
Rybatskoye station is a terminal metro station on the Saint Petersburg Metro serving the southeastern Rybatskoye residential and industrial area.
-
D.
Rumyantsevo station
Rumyantsevo station is a Moscow Metro station located on the Sokolnicheskaya Line, serving the Rumyantsevo area in southwest Moscow.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Begovaya station Triple: [Begovoy District, hasMetroStation, Begovaya station]
Generated description
Begovaya station is a Moscow Metro station serving the northwestern part of the city, located in the Begovoy District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Begovaya station Target entity description: Begovaya station is a Moscow Metro station serving the northwestern part of the city, located in the Begovoy District.
-
A.
Khimvolokno station
Khimvolokno station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
-
B.
Lesnaya station
Lesnaya station is a Saint Petersburg Metro station located in the Vyborgsky District of Saint Petersburg, Russia.
-
C.
Rybatskoye station
Rybatskoye station is a terminal metro station on the Saint Petersburg Metro serving the southeastern Rybatskoye residential and industrial area.
-
D.
Rumyantsevo station
Rumyantsevo station is a Moscow Metro station located on the Sokolnicheskaya Line, serving the Rumyantsevo area in southwest Moscow.
-
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. chosen
Provenance (5 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12919dd388190b8ca08e2464cb0b8 |
completed | April 28, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a87a9a13c8190a8c9c2f9d0061934 |
completed | May 18, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_6a0a88b10a508190ad127afc699056f2 |
completed | May 18, 2026, 3:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a898963a081909fba51dfa33b1218 |
completed | May 18, 2026, 3:37 a.m. |
Created at: April 16, 2026, 8:30 p.m.