Triple
T31099211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الحِجْر |
E792622
|
entity |
| Predicate | qiblaStatus |
P150550
|
FINISHED |
| Object | داخله من جهة القبلة لمن يصلي فيه |
—
|
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: داخله من جهة القبلة لمن يصلي فيه | Statement: [الحِجْر, qiblaStatus, داخله من جهة القبلة لمن يصلي فيه]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: qiblaStatus Context triple: [الحِجْر, qiblaStatus, داخله من جهة القبلة لمن يصلي فيه]
-
A.
hasQiblaDirection
Indicates the directional relationship specifying which way one should face (toward the Kaaba in Mecca) for prayer.
-
B.
hasQiblaWall
chosen
Indicates that a structure or space possesses a designated qibla wall, i.e., the wall oriented toward the direction of Islamic prayer.
-
C.
hasQiblaCount
Indicates the number of distinct qibla directions associated with or applicable to a given entity.
-
D.
directionFromMecca
Indicates the geographic direction in which one entity lies relative to Mecca as the reference point.
-
E.
qiblaChangedTo
Indicates that the direction of ritual prayer or religious orientation has been altered to point toward a new specified location.
- 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_69f224cf157c81909e2d2bd88c9282c3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:03 p.m.