Triple
T18204988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BigBird |
E435879
|
entity |
| Predicate | theoreticalProperty |
P86747
|
FINISHED |
| Object | Turing completeness under certain conditions |
—
|
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: Turing completeness under certain conditions | Statement: [BigBird, theoreticalProperty, Turing completeness under certain conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theoreticalProperty Context triple: [BigBird, theoreticalProperty, Turing completeness under certain conditions]
-
A.
hasMathematicalProperty
chosen
Indicates that one entity possesses or exhibits a specific mathematical property or characteristic.
-
B.
algorithmicProperty
Indicates that a subject possesses a specific characteristic, behavior, or quality defined in terms of an algorithm or computational procedure.
-
C.
mechanicalProperty
Indicates a relationship where a mechanical characteristic (such as strength, stiffness, hardness, or elasticity) is attributed to or associated with an entity.
-
D.
studiedProperty
Indicates that an entity has examined, researched, or analyzed a particular property or attribute of another entity.
-
E.
measuredProperty
Indicates that the subject is a measurement that quantifies or assesses the specified property of an entity.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e222831081908f7d5500424e3acb |
completed | April 19, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4332155d88190b106d0dceb4554af |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:32 a.m.