Triple
T35688912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kachin conflict |
E1031233
|
entity |
| Predicate | hasReligionDimension |
P27867
|
FINISHED |
| Object | Christianity |
E348
|
NE 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: Christianity | Statement: [Kachin conflict, hasReligionDimension, Christianity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligionDimension Context triple: [Kachin conflict, hasReligionDimension, Christianity]
-
A.
hasReligionDomain
Indicates that an entity is associated with, operates within, or pertains to a particular religious domain or sphere.
-
B.
hasReligious
Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
-
C.
hasReligiousType
Indicates that an entity is associated with or classified under a particular religion or religious category.
-
D.
hasAssociatedReligion
chosen
Indicates that an entity is connected with or linked to a particular religion.
-
E.
hasReligiousSee
Indicates that one entity serves as the ecclesiastical or religious jurisdiction/seat (see) of another entity.
- F. None of above.
Provenance (4 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38728f5610819080bb7f18d6ceb20c |
completed | June 21, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.