Triple
T37941935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Тимирязевская |
E946510
|
entity |
| Predicate | количество путей |
P21756
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Тимирязевская, количество путей, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: количество путей Context triple: [Тимирязевская, количество путей, 2]
-
A.
numberOfPaths
chosen
Indicates the count of distinct paths or routes that exist between specified points or within a given structure.
-
B.
numberOfRoutes
Indicates the total count of distinct routes or paths associated with a given entity or between specified entities.
-
C.
hadNumberOfWays
Indicates that an entity possessed or was associated with a specific count of possible ways, methods, or options for doing something.
-
D.
pathLength
Indicates the measured distance or length of a path connecting two points or locations.
-
E.
numberOfTowpaths
Indicates the quantity of towpaths associated with or present along a given entity or feature.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.