Triple
T15678913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghadir Khumm |
E377520
|
entity |
| Predicate | hasPrimaryStatement |
P119727
|
FINISHED |
| Object | “For whomever I am mawla, Ali is his mawla” |
—
|
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: “For whomever I am mawla, Ali is his mawla” | Statement: [Ghadir Khumm, hasPrimaryStatement, “For whomever I am mawla, Ali is his mawla”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryStatement Context triple: [Ghadir Khumm, hasPrimaryStatement, “For whomever I am mawla, Ali is his mawla”]
-
A.
hasPrimary
Indicates that one entity is designated as the main or most important instance (the primary) in relation to another entity.
-
B.
hasPrimaryConstituent
Indicates that one entity serves as the main or principal component, ingredient, or element of another entity.
-
C.
hasPrimarySubject
Indicates that an entity is the main or principal subject associated with another entity or resource.
-
D.
hasPrimarySee
Indicates that one entity is designated as the main or preferred "see" reference or cross-reference for another entity.
-
E.
hasPrimaryCode
Indicates that an entity is associated with its main or most important identifying code among potentially multiple codes.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2f1640819086efd5a73bb9734a |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:16 a.m.