Triple
T1774258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SimpleText |
E38941
|
entity |
| Predicate | supportsWordWrap |
P31508
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [SimpleText, supportsWordWrap, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsWordWrap Context triple: [SimpleText, supportsWordWrap, yes]
-
A.
supportsOffice
Indicates that one entity provides assistance, resources, or endorsement to an office or officeholder in performing its functions or maintaining its operations.
-
B.
supportsLinkWidth
Indicates that one entity is capable of accommodating or enabling a specified width for a link or connection between components.
-
C.
width
Indicates the measurement of how wide an entity is, typically the extent of its horizontal dimension from side to side.
-
D.
coreText
Indicates that something serves as the main or primary textual content within a larger work or context.
-
E.
isLinedWith
Indicates that one object or surface is covered, edged, or internally coated along its length or area with another material or layer.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab17e368048190b7b73d156400f772 |
completed | March 6, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69aa61cd4c1c8190a8dff391f5642bfe |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab17d0a644819087e6ce39d6c60da5 |
completed | March 6, 2026, 6:07 p.m. |
Created at: March 4, 2026, 7:31 p.m.