Triple
T38155665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabuntalan |
E952877
|
entity |
| Predicate | hasReligionGroup |
P62585
|
FINISHED |
| Object | Muslim community |
—
|
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: Muslim community | Statement: [Kabuntalan, hasReligionGroup, Muslim community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligionGroup Context triple: [Kabuntalan, hasReligionGroup, Muslim community]
-
A.
ethnicOrReligiousGroup
chosen
Indicates that one entity is an ethnic or religious group to which the other entity belongs or with which it is associated.
-
B.
hasAssociatedReligion
Indicates that an entity is connected with or linked to a particular religion.
-
C.
hasReligiousType
Indicates that an entity is associated with or classified under a particular religion or religious category.
-
D.
hasReligiousOrganization
Indicates that an entity is associated with, governed by, or belongs to a specific religious organization.
-
E.
hasClergyLikeGroup
Indicates that an entity possesses or is associated with a group functioning in a clergy-like or religious-leadership role.
- 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_69f76f0a67f4819080c492f61d688fcc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.