Triple
T9855237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahraini Canadian |
E239566
|
entity |
| Predicate | mayPractice |
P4721
|
FINISHED |
| Object | Bahraini traditions in Canada |
—
|
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: Bahraini traditions in Canada | Statement: [Bahraini Canadian, mayPractice, Bahraini traditions in Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayPractice Context triple: [Bahraini Canadian, mayPractice, Bahraini traditions in Canada]
-
A.
mentionsPractice
Indicates that one entity refers to, discusses, or brings up a particular practice in some form of communication.
-
B.
hadPractice
Indicates that an entity engaged in or participated in a practice session or rehearsal.
-
C.
practice
chosen
Indicates that an entity regularly performs an activity or skill, typically to improve proficiency or maintain competence.
-
D.
mayConduct
Indicates that one entity is permitted or authorized to carry out, perform, or execute a particular action, process, or operation on or with another entity.
-
E.
requiresPractice
Indicates that performing or mastering one entity depends on engaging in repeated practice or training involving another entity.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3960fb481909c90d6d6cafc6222 |
completed | April 2, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:34 p.m.