Triple
T37614953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulvar Dmitriya Donskogo |
E935892
|
entity |
| Predicate | adjacentStationOnSerpukhovsko–TimiryazevskayaLine |
P193809
|
FINISHED |
| Object | Annino |
—
|
NE NERFINISHED |
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: Annino | Statement: [Bulvar Dmitriya Donskogo, adjacentStationOnSerpukhovsko–TimiryazevskayaLine, Annino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnSerpukhovsko–TimiryazevskayaLine Context triple: [Bulvar Dmitriya Donskogo, adjacentStationOnSerpukhovsko–TimiryazevskayaLine, Annino]
-
A.
adjacentStationOnKaluzhsko–RizhskayaLine
Indicates that one station is directly next to another station along the Kaluzhsko–Rizhskaya metro line.
-
B.
hasAdjacentStationOnKoltsevayaLine
Indicates that one station is directly next to another station on the Koltsevaya (circle) metro line.
-
C.
adjacentStationOnCapitalLine
Indicates that one station is directly next to another station along the Capital Line, with no other stations in between.
-
D.
adjacentStationOnSilverLine
Indicates that one station is directly next to another station along the Silver Line, with no other stations in between.
-
E.
adjacentStationOnPinkLine
Indicates that one station is directly next to another station along the Pink Line route.
- F. None of above. chosen
Provenance (4 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
| PDg | Predicate description generation | batch_69fd553c01488190b9fda48b4a728f04 |
completed | May 8, 2026, 3:15 a.m. |
Created at: May 3, 2026, 4:18 p.m.