Triple
T31527096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mendhar |
E804373
|
entity |
| Predicate | hasReligionsPracticed |
P136960
|
FINISHED |
| Object | Islam |
—
|
NE NERFINISHED |
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: Islam | Statement: [Mendhar, hasReligionsPracticed, Islam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligionsPracticed Context triple: [Mendhar, hasReligionsPracticed, Islam]
-
A.
hasAssociatedReligion
Indicates that an entity is connected with or linked to a particular religion.
-
B.
hasReligiousObservance
Indicates that an entity practices, observes, or participates in a particular religious rite, ceremony, or tradition.
-
C.
hasReligious
chosen
Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
-
D.
hasPrimaryReligionComplex
Indicates that an entity is primarily associated with, practices, or is characterized by a particular religion or religious complex.
-
E.
hasFormerReligiousCommunity
Indicates that an entity previously belonged to a particular religious community but is no longer a member of it.
- 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_69f348cf839c81908657048402f7f97b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a016ebba0448190b5319243e1b2feca |
completed | May 11, 2026, 5:52 a.m. |
| PD | Predicate disambiguation | batch_6a016d2486b4819085efe197ee21b707 |
completed | May 11, 2026, 5:46 a.m. |
Created at: April 30, 2026, 9:59 p.m.