Triple
T27738093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MatFormField |
E697576
|
entity |
| Predicate | supportsAppearance |
P201420
|
FINISHED |
| Object | legacy |
—
|
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: legacy | Statement: [MatFormField, supportsAppearance, legacy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAppearance Context triple: [MatFormField, supportsAppearance, legacy]
-
A.
supportsView
Indicates that one entity provides the capability to display, render, or present another entity in a particular view or format.
-
B.
supportsAspect
Indicates that one entity provides backing, justification, or reinforcement for a particular aspect, feature, or component of another entity.
-
C.
supportsAlignment
Indicates that one entity is compatible with and can properly function or operate in conjunction with a specified alignment, configuration, or standard.
-
D.
supportsPersonalization
Indicates that one entity enables or provides functionality for tailoring content, behavior, or experience to the preferences or characteristics of another entity.
-
E.
supportedView
Indicates that one entity provides or enables a particular view, perspective, or representation that is available for use by another entity.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fff4530f908190afe9387f732c2b7e |
completed | May 10, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fff3c01a64819091196875b0c88607 |
completed | May 10, 2026, 2:56 a.m. |
| PDg | Predicate description generation | batch_69fff4525ce48190b1d760539e68aadc |
completed | May 10, 2026, 2:58 a.m. |
Created at: April 27, 2026, 3:13 p.m.