Triple
T14782391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadaat-e-Sadaat |
E347421
|
entity |
| Predicate | hasStatusBasedOn |
P116090
|
FINISHED |
| Object | claimed direct descent from the Prophet Muhammad |
—
|
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: claimed direct descent from the Prophet Muhammad | Statement: [Sadaat-e-Sadaat, hasStatusBasedOn, claimed direct descent from the Prophet Muhammad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStatusBasedOn Context triple: [Sadaat-e-Sadaat, hasStatusBasedOn, claimed direct descent from the Prophet Muhammad]
-
A.
hasStatusIn
Indicates that an entity holds or is assigned a particular status within a specified context, scope, or system.
-
B.
hasStatusLabel
Indicates that an entity is associated with a specific status expressed as a human-readable label.
-
C.
hasUniqueStatus
Indicates that an entity possesses a status or condition that is distinct and not shared with any other entity in the given context.
-
D.
statusIncludes
Indicates that one entity’s status set contains or encompasses the status (or statuses) of another entity.
-
E.
hasPolicyStatus
Indicates that an entity is associated with a policy and specifies the current status or state of that policy.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9de3f48190b7706925e2947cf5 |
completed | April 14, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de90c5e3a08190868680b081308c1d |
completed | April 14, 2026, 7:08 p.m. |
Created at: April 10, 2026, 1:31 a.m.