Triple
T14430181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Арбатско-Покровская линия |
E357804
|
entity |
| Predicate | имеетШиринуКолеи |
P63008
|
FINISHED |
| Object | 1520 мм |
—
|
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: 1520 мм | Statement: [Арбатско-Покровская линия, имеетШиринуКолеи, 1520 мм]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеетШиринуКолеи Context triple: [Арбатско-Покровская линия, имеетШиринуКолеи, 1520 мм]
-
A.
trackWidth
chosen
Indicates the lateral distance between two parallel tracks or wheels, typically measured from center to center.
-
B.
hasRailWidth
Indicates that one entity has a specified width measurement for its rail or rails.
-
C.
carWidth
Indicates the measurement of how wide a car is across its lateral (side-to-side) dimension.
-
D.
usesCarWidth
Indicates that one entity determines, measures, or constrains something based on the width of a car.
-
E.
typicalLugWidth
Indicates the standard or commonly used width of a lug in a given context or application.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914570f08190b1c7c1c57a0cb476 |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.