Triple
T9945763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cardfile |
E195198
|
entity |
| Predicate | hasLimitations |
P99
|
FINISHED |
| Object | no rich text formatting |
—
|
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: no rich text formatting | Statement: [Cardfile, hasLimitations, no rich text formatting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLimitations Context triple: [Cardfile, hasLimitations, no rich text formatting]
-
A.
hasLimitation
chosen
Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
-
B.
showsLimitationOf
Indicates that one entity reveals, demonstrates, or makes apparent the limitations, weaknesses, or constraints of another entity.
-
C.
mayHaveRestriction
Indicates that an entity can be subject to one or more limitations, conditions, or constraints, though such restrictions are not necessarily present.
-
D.
isLimitOf
Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
-
E.
hasLimitedDocumentation
Indicates that the subject is associated with documentation that is sparse, incomplete, or not sufficiently detailed.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb655fba0819084a1e757b68c25d4 |
completed | April 2, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69cd1d97c44081908730071269f07712 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:45 p.m.