Triple
T27560035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GitHub Flavored Markdown |
E695745
|
entity |
| Predicate | supportsTableSyntax |
P80839
|
FINISHED |
| Object | pipe-separated rows |
—
|
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: pipe-separated rows | Statement: [GitHub Flavored Markdown, supportsTableSyntax, pipe-separated rows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTableSyntax Context triple: [GitHub Flavored Markdown, supportsTableSyntax, pipe-separated rows]
-
A.
supportsExpressionType
Indicates that one entity is capable of handling, processing, or being compatible with a specified type of expression.
-
B.
supportsPlaceholderSyntax
Indicates that one entity provides or is compatible with a placeholder-based syntax used for parameterization or substitution in another entity.
-
C.
supportsPartitionTable
Indicates that one entity provides the capability to create, manage, or operate on partitioned tables for another entity.
-
D.
supportsRowFormat
chosen
Indicates that one entity provides compatibility with or can correctly handle the specified row format of another entity.
-
E.
theorySupports
Indicates that one theory provides justification, evidence, or logical backing for another claim, theory, or proposition.
- 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_69ef5387e97c8190a9dab040d21cd048 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fef112398081909237c3872345968b |
completed | May 9, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69feefb14ec08190ab401987d8c84a23 |
completed | May 9, 2026, 8:26 a.m. |
Created at: April 27, 2026, 1:38 p.m.