Triple
T12562222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The TeXbook |
E295377
|
entity |
| Predicate | hasExercises |
P105437
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The TeXbook, hasExercises, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExercises Context triple: [The TeXbook, hasExercises, true]
-
A.
hasExerciseType
Indicates that an exercise or workout is associated with a specific type or category of physical activity.
-
B.
hasExerciseFeatures
Indicates that something possesses specific characteristics, attributes, or properties related to exercise or physical activity.
-
C.
hasOrdinaryExercise
Indicates that an entity engages in or is associated with a regular, non-specialized form of physical exercise.
-
D.
alsoExercises
Indicates that one entity engages in physical exercise in addition to, or alongside, another referenced entity.
-
E.
hasPractices
Indicates that an entity engages in, follows, or carries out specific practices, methods, or customary ways of doing things.
- F. None of above. chosen
Provenance (4 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d9550af6d48190a40e349ed0424be3 |
completed | April 10, 2026, 7:52 p.m. |
Created at: April 8, 2026, 11:48 p.m.