Triple
T213036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eid al-Fitr |
E4757
|
entity |
| Predicate | majorPractice |
P1188
|
FINISHED |
| Object | communal Eid prayer |
—
|
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: communal Eid prayer | Statement: [Eid al-Fitr, majorPractice, communal Eid prayer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorPractice Context triple: [Eid al-Fitr, majorPractice, communal Eid prayer]
-
A.
majorCase
Indicates that a legal case is of primary importance or high significance within a given context.
-
B.
practice
Indicates that an entity regularly performs an activity or skill, typically to improve proficiency or maintain competence.
-
C.
hasImportantPractice
chosen
Indicates that an entity engages in or possesses a practice, activity, or procedure considered significant or essential within a given context.
-
D.
majorExposition
Indicates that an entity is a primary or large-scale public presentation or exhibition of another entity (such as a work, collection, or topic).
-
E.
majorIssue
Indicates that something is a primary or most significant problem, concern, or obstacle in a given context.
- 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c313d108190a65d3e939f961bef |
completed | Feb. 28, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69a25b509400819093a6c1a1bac861e3 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:52 a.m.