Triple
T1774268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SimpleText |
E38941
|
entity |
| Predicate | canOpenTeachTextFiles |
P25726
|
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, canOpenTeachTextFiles, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canOpenTeachTextFiles Context triple: [SimpleText, canOpenTeachTextFiles, yes]
-
A.
canBeOpenedBy
chosen
Indicates that one entity has the ability or permission to open another entity.
-
B.
hasTextOpening
Indicates that an entity begins with or contains a specified initial segment of text.
-
C.
canBeWrittenIn
Indicates that something is capable of being expressed, encoded, or represented using a particular language, notation, or medium.
-
D.
openedWith
Indicates that an entity is opened, initiated, or accessed using a specified tool, method, or instrument.
-
E.
hasOpenCurriculum
Indicates that an educational program or institution allows students significant flexibility to choose courses and design their own course of study rather than following a fixed, prescribed curriculum.
- 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_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. |
Created at: March 4, 2026, 7:31 p.m.