Triple
T23162184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hmar people |
E578614
|
entity |
| Predicate | literacyMovement |
P151156
|
FINISHED |
| Object | church-based education |
—
|
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: church-based education | Statement: [Hmar people, literacyMovement, church-based education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literacyMovement Context triple: [Hmar people, literacyMovement, church-based education]
-
A.
typeOfLiteracy
Indicates the specific kind or category of literacy (e.g., digital, financial, media) that characterizes an entity’s literacy skills or practices.
-
B.
literacyStatus
Indicates whether an entity possesses the ability to read and write, or its level of literacy.
-
C.
literaryMovement
Indicates the artistic or intellectual movement in literature with which a work, author, or text is associated or to which it belongs.
-
D.
literaryMovementReception
Indicates how a particular literary movement has been received, interpreted, or evaluated by critics, audiences, or later literary traditions.
-
E.
literaryActivity
Indicates involvement in creating, studying, or engaging with written works such as literature, poetry, or scholarly texts.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f019cd881908e3c68d99454da2a |
completed | April 29, 2026, 4:54 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b75e2708190ba48875e36f983bc |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 4:02 p.m.