Triple
T1557586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ploshchad Vosstaniya metro station |
E33242
|
entity |
| Predicate | isOneOfOldestStationsInSystem |
P30313
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Ploshchad Vosstaniya metro station, isOneOfOldestStationsInSystem, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfOldestStationsInSystem Context triple: [Ploshchad Vosstaniya metro station, isOneOfOldestStationsInSystem, yes]
-
A.
isOneOfOldestProgramsIn
Indicates that a program ranks among the earliest or most long-established programs within a specified group, category, or location.
-
B.
isOneOfOldestFranchisesIn
Indicates that an entity is among the earliest-established or longest-running franchises within a specified group, category, or region.
-
C.
isOldest
Indicates that one entity has a greater age than all other relevant entities in the comparison set.
-
D.
isOldestMuseumIn
Indicates that a museum is the most ancient or earliest established museum within a specified location or region.
-
E.
oldestSubwayLineIn
Indicates that a subway line is the earliest-built or longest-operating subway line within a specified geographic area or transit system.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9407d9d1481909597af97b16512cc |
completed | March 5, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69a907b688d081908171f89010c53973 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a9407aa20881909e747f247ccec642 |
completed | March 5, 2026, 8:36 a.m. |
Created at: March 4, 2026, 7:27 p.m.