Triple
T37977604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timucua language |
E947464
|
entity |
| Predicate | religiousTextsInclude |
P64294
|
FINISHED |
| Object | Christian doctrine |
—
|
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 doctrine | Statement: [Timucua language, religiousTextsInclude, Christian doctrine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousTextsInclude Context triple: [Timucua language, religiousTextsInclude, Christian doctrine]
-
A.
religiousTextsUsed
chosen
Indicates that certain religious texts are employed or referenced in the practice, teaching, or observance associated with an entity.
-
B.
religiousTextOf
Indicates that one entity is a religious text that is sacred to, foundational for, or primarily associated with another entity (such as a religion, denomination, or faith community).
-
C.
religiousTextMentionedIn
Indicates that a religious text is referenced, cited, or discussed within another work or source.
-
D.
religiousTextType
Indicates that one entity is a religious text and specifies the type or category of that religious text in relation to the other entity.
-
E.
religiousTextAttestedIn
Indicates that the existence or content of a religious text is supported, recorded, or evidenced in a particular source, context, or medium.
- 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00474f08908190bc8ae3b320ec887b |
completed | May 10, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_6a0045dc3bd48190a9e0520f3ef3f067 |
completed | May 10, 2026, 8:46 a.m. |
Created at: May 3, 2026, 4:20 p.m.