Triple
T9220851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HaramSanctuary |
E221354
|
entity |
| Predicate | directionFor |
P35570
|
FINISHED |
| Object | Muslim prayer 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: Muslim prayer worldwide | Statement: [HaramSanctuary, directionFor, Muslim prayer worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionFor Context triple: [HaramSanctuary, directionFor, Muslim prayer worldwide]
-
A.
directionRelativeTo
Indicates the spatial orientation of one entity in relation to another, such as which way it faces or points relative to a reference entity.
-
B.
approachDirection
Indicates the direction or bearing from which one entity moves closer to or advances toward another entity.
-
C.
containsDirectionOf
Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
-
D.
geographicDirectionImpliedByName
Indicates that the name of a place or feature suggests a specific geographic direction (e.g., north, south, east, west) relative to some reference.
-
E.
definesDirection
chosen
Indicates that one entity specifies or establishes the orientation, course, or path along which another entity is directed or proceeds.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda75b6888190814cfb890e763b8f |
completed | April 1, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
Created at: March 30, 2026, 7:28 p.m.