Triple
T37901665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Финляндский вокзал |
E945429
|
entity |
| Predicate | историческоеНазваниеЛинии |
P17520
|
FINISHED |
| Object | Финляндская железная дорога |
—
|
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: Финляндская железная дорога | Statement: [Финляндский вокзал, историческоеНазваниеЛинии, Финляндская железная дорога]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: историческоеНазваниеЛинии Context triple: [Финляндский вокзал, историческоеНазваниеЛинии, Финляндская железная дорога]
-
A.
lineName
Indicates the specific name or designation assigned to a particular line (such as a route, path, or service) that distinguishes it from other lines.
-
B.
isWesternTerminusOfHistoricLine
Indicates that something serves as the western endpoint of a historically significant route, line, or transportation corridor.
-
C.
formerLineName
chosen
Indicates that the object is a previous or former name by which the referenced line was known.
-
D.
линия
Indicates a relationship where something is a line or forms a linear connection or boundary between points or areas.
-
E.
lineHistorically
Indicates that a line or route has existed or operated during a specific historical period or context.
- F. None of above.
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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.