Triple
T5527228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monument to the Third International |
E144948
|
entity |
| Predicate | rotationPeriodOfCube |
P38870
|
FINISHED |
| Object | once per year |
—
|
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: once per year | Statement: [Monument to the Third International, rotationPeriodOfCube, once per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rotationPeriodOfCube Context triple: [Monument to the Third International, rotationPeriodOfCube, once per year]
-
A.
rotationPeriod_hours
chosen
Indicates the length of time, measured in hours, that an object takes to complete one full rotation on its axis.
-
B.
rotationPractice
Indicates that an entity engages in or is involved with practicing rotational movements or rotation-related skills.
-
C.
rotationEffect
Indicates that one entity is rotated around a specified point or axis by a given angle, affecting its orientation relative to other entities.
-
D.
rotationType
Indicates the specific kind or mode of rotational movement or orientation applied in a given context.
-
E.
rotatesAmong
Indicates that an entity takes turns occupying or performing a role, position, or function in sequence with other entities.
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f8a34a48190bcbd0036f79246a9 |
completed | March 22, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69c01b0a06348190b39ac9fe80d2836a |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:34 p.m.