Triple
T34658913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barquinha |
E890053
|
entity |
| Predicate | hasReligiousSyncretismWith |
P19097
|
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: [Barquinha, hasReligiousSyncretismWith, Christianity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousSyncretismWith Context triple: [Barquinha, hasReligiousSyncretismWith, Christianity]
-
A.
religiousSyncretism
chosen
Indicates a blending or merging of elements from different religious traditions into a combined or hybrid belief or practice.
-
B.
hasSyncreticDeity
Indicates that one deity is a composite or fusion of multiple distinct deities, combining their attributes or identities into a single syncretic figure.
-
C.
ethnicReligionMix
Indicates a relationship where a group or context involves a combined or overlapping presence of specific ethnic identities and religious affiliations.
-
D.
isMultiReligious
Indicates that an entity is associated with or practices multiple religions rather than adhering to just one.
-
E.
sharesReligionWith
Indicates that two entities follow or are associated with the same religion or religious tradition.
- 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_69f349d906bc8190b2efd9eff237d94b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3752e925c48190999edbf095c09e64 |
completed | June 21, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2:04 a.m.