Triple
T7348047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miqat |
E169426
|
entity |
| Predicate | QarnAl-ManazilFor |
P76732
|
FINISHED |
| Object | people coming from Najd |
—
|
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: people coming from Najd | Statement: [Miqat, QarnAl-ManazilFor, people coming from Najd]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: QarnAl-ManazilFor Context triple: [Miqat, QarnAl-ManazilFor, people coming from Najd]
-
A.
pilgrimageRouteTo
Indicates a route or path that is traditionally used or designated for making a religious or spiritual pilgrimage to a particular destination.
-
B.
travelsThrough
Indicates that something moves along, passes across, or is routed via a particular path, medium, or location.
-
C.
controlledPilgrimageRoutesTo
Indicates that one entity had authority over and managed access to the pilgrimage routes leading to another entity.
-
D.
travelTimeMeccaMedina
Indicates the duration or time required to travel between Mecca and Medina.
-
E.
distanceFromKaaba
Indicates the spatial distance between an entity’s location and the Kaaba.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f139505c8190a7158cf59a6e089e |
completed | March 27, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69c6f02aeeb8819099d1626566cec18b |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1379cac81908b35e617c44c7b13 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 3:05 p.m.