Triple
T33434410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HTML Templates |
E856207
|
entity |
| Predicate | parsingBehavior |
P33283
|
FINISHED |
| Object | Content parsed but not rendered |
—
|
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: Content parsed but not rendered | Statement: [HTML Templates, parsingBehavior, Content parsed but not rendered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parsingBehavior Context triple: [HTML Templates, parsingBehavior, Content parsed but not rendered]
-
A.
inferredBehavior
Indicates that a behavior or action is deduced or predicted for an entity based on indirect evidence, patterns, or reasoning rather than being directly observed.
-
B.
parsedBy
chosen
Indicates that one entity analyzes and interprets another entity’s structure or content, typically transforming it into a more structured or machine-readable form.
-
C.
parsingComplexity
Indicates the level of difficulty or computational effort required to parse or analyze a given input or structure.
-
D.
marshallingBehavior
Indicates how data or objects are converted, packaged, and transferred between different contexts, systems, or representations.
-
E.
readBehavior
Indicates that one entity engages in the act or manner of reading something, capturing how that reading is performed or characterized.
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e483f0f48190b38bbb7d0d335c2e |
completed | May 3, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:36 a.m.