Triple
T576003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HTML5 |
E13761
|
entity |
| Predicate | doctypeSyntax |
P15685
|
FINISHED |
| Object | <!DOCTYPE html> |
—
|
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: <!DOCTYPE html> | Statement: [HTML5, doctypeSyntax, <!DOCTYPE html>]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doctypeSyntax Context triple: [HTML5, doctypeSyntax, <!DOCTYPE html>]
-
A.
documentedBy
Indicates that something is recorded, described, or evidenced in a specific document or set of documents.
-
B.
documentTypeIncluded
Indicates that a particular document type is contained within, or is part of, a specified set or collection of document types.
-
C.
documentModel
Indicates that an entity serves as or is associated with a specific structured representation or schema of a document.
-
D.
documentNumber
Indicates the unique identifying number assigned to a specific document in the relationship.
-
E.
draftType
Indicates the specific category or kind of draft associated with an entity or document (e.g., initial, revised, or final draft).
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b67395c8190a8046ff7debe9d1f |
completed | March 1, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69a494c692288190b88f30299516b5ba |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985a2d08819090947895d9439e06 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.