Triple
T7348045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miqat |
E169426
|
entity |
| Predicate | Dhul-HulayfahFor |
P76730
|
FINISHED |
| Object | people coming from Medina or passing its route |
—
|
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 Medina or passing its route | Statement: [Miqat, Dhul-HulayfahFor, people coming from Medina or passing its route]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Dhul-HulayfahFor Context triple: [Miqat, Dhul-HulayfahFor, people coming from Medina or passing its route]
-
A.
associatedCaliph
Indicates a relationship where an entity is linked or connected to a specific caliph, typically through rule, patronage, affiliation, or historical association.
-
B.
هاجر_إليها
Indicates that an entity migrated or moved to another entity (typically a place) as its destination.
-
C.
HethIs
Indicates that one entity is identified as or equated with another entity, expressing a basic “is” or “being” relationship between them.
-
D.
المنصب_في_قريش
Indicates that a person holds or held a specific official or social position within the Quraysh tribe.
-
E.
sideInBattleOfHunayn
Indicates that an entity participated as a side (party or faction) in the Battle of Hunayn.
- 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.