Triple
T36310882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barack Obama family homestead |
E894063
|
entity |
| Predicate | religionInArea |
P109600
|
FINISHED |
| Object | Christianity |
—
|
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: Christianity | Statement: [Barack Obama family homestead, religionInArea, Christianity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionInArea Context triple: [Barack Obama family homestead, religionInArea, Christianity]
-
A.
religionInRegion
Indicates that a particular religion is practiced or present within a specified geographic region.
-
B.
laterReligionRegionOf
Indicates that a region became associated with a particular religion at a later time than another referenced region or context.
-
C.
localReligion
chosen
Indicates that a particular religion is practiced or holds significance within a specific local area or community.
-
D.
religionInCountry
Indicates that a particular religion is practiced, present, or recognized within a specified country.
-
E.
religiousEnvironment
Indicates the religious context, atmosphere, or setting in which an entity exists or an action takes place.
- 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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffebbd9bac8190b3dca4b7252a2278 |
completed | May 10, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_69ffe93120a08190a44bb64d052eda78 |
completed | May 10, 2026, 2:10 a.m. |
Created at: May 3, 2026, 4:09 p.m.