Triple
T380449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WHATWG |
E8665
|
entity |
| Predicate | standardizationApproach |
P12712
|
FINISHED |
| Object | living standard model |
—
|
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: living standard model | Statement: [WHATWG, standardizationApproach, living standard model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardizationApproach Context triple: [WHATWG, standardizationApproach, living standard model]
-
A.
standardizationStatus
Indicates the current stage or condition of an entity in a formal standardization process (e.g., proposed, under review, approved, deprecated).
-
B.
standardizationInfluence
Indicates the extent to which one entity’s standards, norms, or standardization efforts shape, guide, or constrain another entity’s practices, processes, or specifications.
-
C.
standardizedIn
Indicates that something has been formally defined, regulated, or made uniform within a particular standard, framework, or jurisdiction.
-
D.
standardizedBy
Indicates that one entity defines, regulates, or formalizes the standards or specifications by which another entity is created, measured, or operated.
-
E.
standardizedFor
Indicates that something has been adjusted or converted to conform to a common standard, format, or reference so it can be consistently compared or used.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2c95088190a603bb1ee076ebd6 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e964d4b481909290e474b0341e3c |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2eae0bd7081908197bbf5c55fe647 |
completed | Feb. 28, 2026, 1:17 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.