Triple
T1473769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shadhiliyya |
E27193
|
entity |
| Predicate | positionOnWorld |
P11529
|
FINISHED |
| Object | worldly engagement is compatible with sainthood |
—
|
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: worldly engagement is compatible with sainthood | Statement: [Shadhiliyya, positionOnWorld, worldly engagement is compatible with sainthood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnWorld Context triple: [Shadhiliyya, positionOnWorld, worldly engagement is compatible with sainthood]
-
A.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
B.
relationshipToWorld
chosen
Indicates how an entity is connected or related to the broader world or external environment.
-
C.
positionOnReconstruction
Indicates that one entity expresses a stance, opinion, or role regarding the process or policy of reconstruction.
-
D.
positionInMass
Indicates that an entity occupies a specific location or role within a larger undifferentiated group, collection, or mass.
-
E.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5ff8dbc81909eafcfc9f2260a22 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c48350d88190a81bd149103f93e3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:01 p.m.