Triple
T20976100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidi Sahbi |
E516628
|
entity |
| Predicate | historicalPerception |
P13759
|
FINISHED |
| Object | revered as a saint by local Muslims |
—
|
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: revered as a saint by local Muslims | Statement: [Sidi Sahbi, historicalPerception, revered as a saint by local Muslims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPerception Context triple: [Sidi Sahbi, historicalPerception, revered as a saint by local Muslims]
-
A.
historicalReception
Indicates how an event, work, or figure was received, interpreted, or evaluated by people and institutions over time.
-
B.
historicallyConsidered
chosen
Indicates that one entity has been regarded or classified in a particular way relative to another entity during a past historical period.
-
C.
hasHistoricalViewpoint
Indicates that one entity holds, expresses, or is associated with a particular perspective or interpretation regarding historical events or periods.
-
D.
historicalOrientation
Indicates a relationship where an entity is characterized by its focus on, alignment with, or interpretation of past events, traditions, or historical perspectives.
-
E.
historicalSee
Indicates that one entity observed, encountered, or took visual notice of another entity in the past.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba3df2081908c1db5f8610ba43d |
completed | April 21, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:47 p.m.