Triple
T1490467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W3C markup validation tools |
E29564
|
entity |
| Predicate | supportsAutomation |
P15794
|
FINISHED |
| Object | command-line usage |
—
|
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: command-line usage | Statement: [W3C markup validation tools, supportsAutomation, command-line usage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAutomation Context triple: [W3C markup validation tools, supportsAutomation, command-line usage]
-
A.
supportsFeature
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
B.
supportsInstrument
Indicates that one entity provides assistance, resources, or functionality that enables another entity (the instrument) to operate or be used effectively.
-
C.
supportsUse
chosen
Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
-
D.
supportsCommand
Indicates that one entity is capable of recognizing, accepting, or executing a specified command associated with another entity.
-
E.
supportsProduct
Indicates that one entity provides assistance, compatibility, or necessary resources for the operation, use, or maintenance of a specified product.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c233ec819087e1233af02aabfc |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c48902808190a8028d359bcf123e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.