Triple
T26062154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salah |
E657287
|
entity |
| Predicate | collectiveForm |
P169226
|
FINISHED |
| Object | congregational 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: congregational prayer | Statement: [Salah, collectiveForm, congregational prayer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectiveForm Context triple: [Salah, collectiveForm, congregational prayer]
-
A.
collectionFormed
Indicates that multiple items or entities have been gathered and organized together into a defined collection.
-
B.
formsSwarms
Indicates that multiple entities come together to create or participate in a coordinated swarm.
-
C.
formerCollective
Indicates a relationship where an entity was once part of a collective group or organization but is no longer a member.
-
D.
formsFlocksWith
Indicates that entities regularly gather and move together in coordinated groups or flocks.
-
E.
formsWith
Indicates that one entity combines or associates with another to create or constitute a joint structure, group, or configuration.
- 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_69ee5bbd788481909e22bd7153d0c037 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f67d691a948190afa7fb19ae7d4ac5 |
completed | May 2, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67c9ec1708190b26ccf402ed7b106 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 26, 2026, 7:18 p.m.