Triple
T12577711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanao del Sur |
E300251
|
entity |
| Predicate | hasMajorReligionGroup |
P2986
|
FINISHED |
| Object | Muslim |
—
|
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 | Statement: [Lanao del Sur, hasMajorReligionGroup, Muslim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorReligionGroup Context triple: [Lanao del Sur, hasMajorReligionGroup, Muslim]
-
A.
hadMajorReligion
Indicates that a particular religion was the primary or dominant faith practiced within a given entity (such as a region, state, or population) during a specified period.
-
B.
dominantReligion
chosen
Indicates the religion that holds primary or majority status within a given group, region, or entity.
-
C.
hasMajorChristianDenomination
Indicates that an entity (typically a religion, region, or population) includes or is associated with a principal branch or major denomination of Christianity.
-
D.
majorReligionCanBe
Indicates that an entity can have a particular major religion as one of its possible primary religious affiliations.
-
E.
ethnicOrReligiousGroup
Indicates that one entity is an ethnic or religious group to which the other entity belongs or with which it is associated.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 4:53 p.m.