Triple
T5420681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cat in the Hat |
E121239
|
entity |
| Predicate | hasRestraints |
P22102
|
FINISHED |
| Object | lap bar |
—
|
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: lap bar | Statement: [The Cat in the Hat, hasRestraints, lap bar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRestraints Context triple: [The Cat in the Hat, hasRestraints, lap bar]
-
A.
hasSemanticRestriction
Indicates that a concept or relation is constrained in meaning or usage by specific semantic conditions or limitations.
-
B.
restraintType
chosen
Indicates the specific kind or method of restraint applied in a given situation or relationship.
-
C.
designedToConstrain
Indicates that one entity is intentionally created or configured to limit, restrict, or control the behavior, range, or properties of another entity.
-
D.
hasAwardRestriction
Indicates that there is a limitation, condition, or constraint placed on receiving or granting an award.
-
E.
hasAccessConstraint
Indicates that there is a limiting condition or rule governing the ability to access or use a particular resource, service, or action.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87eac41481908a4982db5d119edd |
completed | March 20, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69bd8469f5e48190bbe5c8bdfe8925ea |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:06 p.m.