Triple
T30969216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سهل عرفة |
E789043
|
entity |
| Predicate | isOpenAreaFor |
P121439
|
FINISHED |
| Object | اجتماع الحجاج في يوم عرفة |
—
|
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: اجتماع الحجاج في يوم عرفة | Statement: [سهل عرفة, isOpenAreaFor, اجتماع الحجاج في يوم عرفة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOpenAreaFor Context triple: [سهل عرفة, isOpenAreaFor, اجتماع الحجاج في يوم عرفة]
-
A.
isOpenTo
Indicates that one entity is receptive, willing, or available to consider, accept, or engage with another entity or proposal.
-
B.
isOpenIn
Indicates that one entity (such as a set or function) is open with respect to, or when considered within, another entity (typically a topological space or context).
-
C.
isOpenSpaceOf
chosen
Indicates that one entity is an open, unobstructed area that belongs to, is part of, or is designated for use by another entity.
-
D.
openingKeyArea
Indicates that an entity serves as the primary or initial tonal or thematic area in which a work, section, or movement begins.
-
E.
isOpeningFor
Indicates that one entity serves as the beginning, introduction, or initial act for another entity, such as an event, performance, or sequence.
- 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_69f224c3a6b48190951add9b7b7f0271 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:54 p.m.