Triple
T1531831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Introduction to the Theory of Computation |
E32458
|
entity |
| Predicate | hasExercise |
P19746
|
FINISHED |
| Object | proof-based problems |
—
|
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: proof-based problems | Statement: [Introduction to the Theory of Computation, hasExercise, proof-based problems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExercise Context triple: [Introduction to the Theory of Computation, hasExercise, proof-based problems]
-
A.
hasOrdinaryExercise
Indicates that an entity engages in or is associated with a regular, non-specialized form of physical exercise.
-
B.
hasExtraordinaryExercise
Indicates that an entity engages in an unusually intense, prolonged, or otherwise exceptional level of physical exercise beyond typical norms.
-
C.
freeExerciseTest
Indicates a legal assessment of whether a law or government action improperly burdens or restricts an individual’s or group’s free exercise of religion.
-
D.
hasAct
Indicates that an entity performs, participates in, or is associated with a specific act or action.
-
E.
hasActivityIn
chosen
Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.