Triple
T35920493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mola blouses |
E1038867
|
entity |
| Predicate | learnedBy |
P139143
|
FINISHED |
| Object | younger Guna girls |
—
|
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: younger Guna girls | Statement: [mola blouses, learnedBy, younger Guna girls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: learnedBy Context triple: [mola blouses, learnedBy, younger Guna girls]
-
A.
earntBy
Indicates that something (such as money, points, or a reward) is obtained as a result of the actions, work, or performance of a particular entity.
-
B.
learnedIn
Indicates that an entity acquired knowledge, skills, or information within a particular context, environment, or source.
-
C.
canBeLearnedBy
chosen
Indicates that a particular subject, skill, or knowledge is capable of being acquired or mastered by a specified learner or group of learners.
-
D.
lessonsLearned
Indicates that certain insights, knowledge, or understanding have been gained from a prior experience, event, or process.
-
E.
commandedToBeTaught
Indicates that one entity has issued an instruction that another entity is to be taught or instructed in something.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaa9ba18819082a9b86a87e82f75 |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.