Triple
T31248787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | מערת המכפלה |
E796757
|
entity |
| Predicate | hasSeparatePrayerAreas |
P198522
|
FINISHED |
| Object | יהודים ומוסלמים |
—
|
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: יהודים ומוסלמים | Statement: [מערת המכפלה, hasSeparatePrayerAreas, יהודים ומוסלמים]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeparatePrayerAreas Context triple: [מערת המכפלה, hasSeparatePrayerAreas, יהודים ומוסלמים]
-
A.
hasPrayerArea
Indicates that a place or facility includes a designated area intended for performing prayers or religious worship.
-
B.
hasPrayerRite
Indicates that one entity is associated with, follows, or practices a particular prayer rite or liturgical form.
-
C.
prayerHallCapacity
Indicates the maximum number of people that the prayer hall is designed or allowed to accommodate at one time.
-
D.
hasMosque
Indicates that one entity possesses, contains, or is the location of a mosque.
-
E.
hasPrayerHallShape
Indicates that an entity possesses a specific architectural or spatial form characteristic of a prayer hall.
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fef112398081909237c3872345968b |
completed | May 9, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69feefb14ec08190ab401987d8c84a23 |
completed | May 9, 2026, 8:26 a.m. |
| PDg | Predicate description generation | batch_69fef1112b0c8190a8eb027edb71e4e0 |
completed | May 9, 2026, 8:32 a.m. |
Created at: April 29, 2026, 9:11 p.m.