Triple
T24904368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perpetual rotor |
E623663
|
entity |
| Predicate | rotates |
P28004
|
FINISHED |
| Object | freely in both directions |
—
|
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: freely in both directions | Statement: [Perpetual rotor, rotates, freely in both directions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rotates Context triple: [Perpetual rotor, rotates, freely in both directions]
-
A.
rotatesWith
Indicates that two or more entities turn or spin together in a coordinated or mechanically linked manner, typically sharing the same rotational motion or axis.
-
B.
rotatesAmong
Indicates that an entity takes turns occupying or performing a role, position, or function in sequence with other entities.
-
C.
hasRotationMechanic
Indicates that the subject includes or supports a gameplay or functional mechanic involving rotation or turning as a core interaction.
-
D.
turns
chosen
Indicates a change in orientation, direction, or state initiated by one entity affecting itself or another entity.
-
E.
cropRotationPractice
Indicates that an entity engages in the planned sequence of growing different crops on the same land over time to manage soil health, pests, and productivity.
- 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:27 a.m.