Triple
T37901666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Финляндский вокзал |
E945429
|
entity |
| Predicate | получилНазваниеОт |
P118939
|
FINISHED |
| Object | Финляндская железная дорога |
—
|
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: Финляндская железная дорога | Statement: [Финляндский вокзал, получилНазваниеОт, Финляндская железная дорога]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: получилНазваниеОт Context triple: [Финляндский вокзал, получилНазваниеОт, Финляндская железная дорога]
-
A.
hasNameGivenTo
Indicates that one entity is the name that has been assigned or given to another entity.
-
B.
namedAccordingTo
chosen
Indicates that one entity is given a name that follows, references, or is derived from another entity or source.
-
C.
nameOf
Indicates that one entity is the name or designation of another entity.
-
D.
givenNameFor
Indicates that one entity is the personal first name assigned to or used for another entity.
-
E.
wirdErnanntVon
Indicates that an entity is appointed or designated to a position or role by another entity.
- 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.