Triple
T38377866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Дворцовый мост |
E893673
|
entity |
| Predicate | имеетРазводнойМеханизм |
P134343
|
FINISHED |
| Object | электромеханический |
—
|
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: электромеханический | Statement: [Дворцовый мост, имеетРазводнойМеханизм, электромеханический]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеетРазводнойМеханизм Context triple: [Дворцовый мост, имеетРазводнойМеханизм, электромеханический]
-
A.
hasSlidingMechanism
Indicates that one entity possesses or incorporates a mechanism that allows parts of it to move smoothly along a track or surface in a sliding motion.
-
B.
hasMechanicalFeature
chosen
Indicates that one entity possesses, includes, or is characterized by a specific mechanical component, attribute, or functionality.
-
C.
hasCurtainMechanism
Indicates that one entity is equipped with or includes a mechanism for operating a curtain.
-
D.
tiltingMechanism
Indicates a relationship where one entity serves as a mechanism that enables another entity to tilt or be tilted.
-
E.
hasRotationMechanic
Indicates that the subject includes or supports a gameplay or functional mechanic involving rotation or turning as a core interaction.
- 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_69f76e4b1f748190a380696a16eae4a2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: May 3, 2026, 4:31 p.m.