Triple
T8524658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rotuma |
E201780
|
entity |
| Predicate | religionIntroducedBy |
P18407
|
FINISHED |
| Object | Christian missionaries |
—
|
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: Christian missionaries | Statement: [Rotuma, religionIntroducedBy, Christian missionaries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionIntroducedBy Context triple: [Rotuma, religionIntroducedBy, Christian missionaries]
-
A.
religionIntroduced
chosen
Indicates that one entity brought or established a particular religion or religious tradition to another entity, place, or group for the first time.
-
B.
foundedReligion
Indicates that an entity established or originated a particular religion.
-
C.
religionAtOrigin
Indicates that an entity had a particular religion or religious affiliation at the time or place of its origin.
-
D.
religiousBranchOf
Indicates that one religion, denomination, or sect is a subdivision or offshoot of a larger parent religious tradition.
-
E.
promotedReligion
Indicates that an entity actively supported, advocated for, or worked to spread a particular religion.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe644c4648190a14dcaeaa90d72c7 |
completed | March 31, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cbd10f64b4819080859057c19e58f0 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:16 p.m.