Triple
T213110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masjid al-Haram |
E4758
|
entity |
| Predicate | qiblaFor |
P6452
|
FINISHED |
| Object | Muslims worldwide |
—
|
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 worldwide | Statement: [Masjid al-Haram, qiblaFor, Muslims worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: qiblaFor Context triple: [Masjid al-Haram, qiblaFor, Muslims worldwide]
-
A.
SunLocation
Indicates the spatial position or placement of the sun relative to a reference point or environment.
-
B.
holyCityFor
chosen
Indicates that a city holds recognized religious significance or sacred status for a particular religion or religious community.
-
C.
orientation
Indicates the relative directional alignment or facing of one entity with respect to another or to a reference frame.
-
D.
solarPosition
Indicates the spatial orientation or location of an entity relative to the Sun at a given time.
-
E.
distanceFromNorthPole
Indicates the measured spatial distance between a given entity’s location and the geographic North Pole.
- 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c313d108190a65d3e939f961bef |
completed | Feb. 28, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69a25b509400819093a6c1a1bac861e3 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:52 a.m.