Triple
T4325363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinja2 |
E96622
|
entity |
| Predicate | usesDelimiter |
P11855
|
FINISHED |
| Object | {{ ... }} for expressions |
—
|
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: {{ ... }} for expressions | Statement: [Jinja2, usesDelimiter, {{ ... }} for expressions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesDelimiter
Context triple: [Jinja2, usesDelimiter, {{ ... }} for expressions]
-
A.
supportsDelimiterVariation
Indicates that one entity is capable of handling or accommodating different types or formats of delimiters used by another entity.
-
B.
alternativeDelimiters
Indicates a relationship where one or more substitute boundary markers are used in place of the primary delimiters for separating or enclosing elements.
-
C.
hasSeparator
chosen
Indicates that one entity includes, uses, or is divided by another entity that serves as a separator or delimiting element.
-
D.
blockDelimiter
Indicates that one entity serves as a boundary marker that starts, ends, or separates a logical block associated with another entity.
-
E.
separatesBy
Indicates that one entity divides, partitions, or creates a boundary between two or more other entities.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3512ec18481908a7b5c29b3902b53 |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4bec888190987fc2631498b637 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:13 p.m.