Triple
T37382802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’Hôpital’s rule for indeterminate limits |
E928482
|
entity |
| Predicate | canBeAppliedRepeatedly |
P198896
|
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: [L’Hôpital’s rule for indeterminate limits, canBeAppliedRepeatedly, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeAppliedRepeatedly Context triple: [L’Hôpital’s rule for indeterminate limits, canBeAppliedRepeatedly, true]
-
A.
canTriggerMultipleTimes
Indicates that the associated action or event is allowed to occur repeatedly rather than being limited to a single activation.
-
B.
enablesRepeatedUse
Indicates that one entity provides the capability or conditions for another entity to be used multiple times without needing replacement or reset.
-
C.
canBeAwardedMultipleTimes
Indicates that the associated award, honor, or recognition may be granted to the same recipient on more than one occasion.
-
D.
canBeDeclaredMultipleTimes
Indicates that the same entity (such as a variable, function, or construct) is allowed to be declared more than once within a given scope or context.
-
E.
hasRepetition
Indicates that something occurs, appears, or is performed more than once, showing recurrence or repeated instances within a given context.
- 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_69f76eb9e66881908534cf22d04c3b5a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff109695008190a22b47ef8be2e3f9 |
completed | May 9, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69ff0f243ea88190970d2c520b55c816 |
completed | May 9, 2026, 10:40 a.m. |
| PDg | Predicate description generation | batch_69ff10956d3881909144f880f92e90c4 |
completed | May 9, 2026, 10:46 a.m. |
Created at: May 3, 2026, 4:16 p.m.