Triple
T34553755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paveletskaya (Koltsevaya line) |
E887144
|
entity |
| Predicate | hasCircularLineFunction |
P185688
|
FINISHED |
| Object | interchange on Koltsevaya line |
—
|
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: interchange on Koltsevaya line | Statement: [Paveletskaya (Koltsevaya line), hasCircularLineFunction, interchange on Koltsevaya line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCircularLineFunction Context triple: [Paveletskaya (Koltsevaya line), hasCircularLineFunction, interchange on Koltsevaya line]
-
A.
hasCircularOperation
Indicates that an entity performs or supports an operation whose process or flow follows a circular or repeating cycle.
-
B.
hasCircularWalk
Indicates that an entity possesses or includes a walking path or route that forms a closed circular loop.
-
C.
isCyclic
Indicates that a structure, process, or sequence forms a closed loop in which elements or states repeat in a cycle.
-
D.
hasRoundFunction
Indicates that one entity possesses or is associated with a function that performs rounding operations.
-
E.
hasCircle
Indicates that one entity possesses, contains, or includes a circle as part of its structure or composition.
- 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_69f349cff89081908f91e0b064f4833e |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7c33d59808190b647989a093f3488 |
completed | May 3, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c29cf36481908e472d4dcb5573b9 |
completed | May 3, 2026, 9:48 p.m. |
Created at: May 1, 2026, 2:02 a.m.