Triple
T12149977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yan Taru women’s educational network |
E289426
|
entity |
| Predicate | teachingSetting |
P27364
|
FINISHED |
| Object | household compounds |
—
|
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: household compounds | Statement: [Yan Taru women’s educational network, teachingSetting, household compounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachingSetting Context triple: [Yan Taru women’s educational network, teachingSetting, household compounds]
-
A.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
-
B.
typeOfTeaching
Indicates the specific method or style of teaching used in an instructional context.
-
C.
educationSetting
chosen
Indicates the type or context of the educational environment in which the related entity participates or operates.
-
D.
definedTeaching
Indicates that one entity has formally specified or established the teaching content, method, or curriculum for another entity.
-
E.
recitationSetting
Indicates the context or environment in which a recitation takes place, such as the type, location, or format of the recitation event.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.