Triple
T26966782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NL |
E679191
|
entity |
| Predicate | typicalMachineRestriction |
P9601
|
FINISHED |
| Object | single work tape with O(log n) cells |
—
|
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: single work tape with O(log n) cells | Statement: [NL, typicalMachineRestriction, single work tape with O(log n) cells]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMachineRestriction Context triple: [NL, typicalMachineRestriction, single work tape with O(log n) cells]
-
A.
mayHaveRestriction
Indicates that an entity can be subject to one or more limitations, conditions, or constraints, though such restrictions are not necessarily present.
-
B.
movementRestrictions
Indicates limitations, rules, or prohibitions that constrain how, where, or when an entity is allowed to move.
-
C.
hasPerformanceMediumRestriction
Indicates that there is a limitation or condition on the medium or format through which a performance may be presented or delivered.
-
D.
limitedSystemType
chosen
Indicates that the system is restricted to a specific subset or category of system types, rather than allowing all possible types.
-
E.
hasHumanUseRestriction
Indicates that there is a limitation or condition on how something may be used by humans.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69ff38b960808190a8263348f1e5c0e4 |
completed | May 9, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69ff37d97d9c8190849b2bac14f9af1d |
completed | May 9, 2026, 1:34 p.m. |
Created at: April 27, 2026, 6:36 a.m.