Triple
T7707857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phoenix |
E174666
|
entity |
| Predicate | representsInChristianity |
P31425
|
FINISHED |
| Object | Christ’s resurrection |
—
|
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: Christ’s resurrection | Statement: [Phoenix, representsInChristianity, Christ’s resurrection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsInChristianity Context triple: [Phoenix, representsInChristianity, Christ’s resurrection]
-
A.
equivalentConceptInChristianity
Indicates that one concept is considered the closest or most direct counterpart to another concept within the context of Christian theology or practice.
-
B.
portraysReligionAs
Indicates that one entity represents, depicts, or characterizes a religion in a particular way.
-
C.
appearsInReligion
chosen
Indicates that one entity is featured, referenced, or plays a role within the religious context, texts, or traditions associated with another entity.
-
D.
religionSignificant
Indicates that a particular religion plays an important or influential role in relation to the referenced entity or context.
-
E.
equivalentInReligion
Indicates that two entities share the same or an essentially identical religious affiliation, tradition, or classification.
- 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:04 p.m.