Triple
T340930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mecca |
E6835
|
entity |
| Predicate | directionOfPrayerFor |
P2330
|
FINISHED |
| Object | Muslims |
—
|
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: Muslims | Statement: [Mecca, directionOfPrayerFor, Muslims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionOfPrayerFor Context triple: [Mecca, directionOfPrayerFor, Muslims]
-
A.
orientation
Indicates the relative directional alignment or facing of one entity with respect to another or to a reference frame.
-
B.
positionInIslamicCalendar
Indicates the specific placement or ordering of a time point (such as a date or event) within the structure of the Islamic (Hijri) calendar.
-
C.
positionInChurch
Indicates that one entity holds a specific role, office, or rank within a church organization or hierarchy.
-
D.
forceDirection
Indicates the direction in which a force is applied or exerted in the relationship between entities.
-
E.
religiousFunction
chosen
Indicates that one entity serves a religious role, purpose, or function in relation to 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eae611f88190955fbebe2b01835b |
completed | Feb. 28, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69a2e95197fc8190820e8ebd0d7d27fa |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.