Triple
T22569379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meitei Mayek script |
E558038
|
entity |
| Predicate | reintroducedInEducation |
P18106
|
FINISHED |
| Object | late 20th century |
—
|
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: late 20th century | Statement: [Meitei Mayek script, reintroducedInEducation, late 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reintroducedInEducation Context triple: [Meitei Mayek script, reintroducedInEducation, late 20th century]
-
A.
introducedEducationSystem
Indicates that an entity established or brought a particular education system into use for another entity or context.
-
B.
usedInEducationIn
Indicates that something is employed or applied within educational contexts in a particular place or institution.
-
C.
reintroduced
chosen
Indicates that an entity that was previously removed, extinct, or absent has been brought back or restored to a place, context, or state.
-
D.
laterReintroducedBy
Indicates that something previously removed, discontinued, or absent was brought back or reinstated at a subsequent time by a specified agent or entity.
-
E.
reintroducedInYear
Indicates that an entity, previously absent or discontinued, was brought back or reinstated in a specified year.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fac7db08190ba4660535571498d |
completed | April 29, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:52 p.m.