Triple
T34396656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De’ek Wadápuš |
E882847
|
entity |
| Predicate | protectionJustifiedBy |
P24667
|
FINISHED |
| Object | Native American religious freedom |
—
|
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: Native American religious freedom | Statement: [De’ek Wadápuš, protectionJustifiedBy, Native American religious freedom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protectionJustifiedBy Context triple: [De’ek Wadápuš, protectionJustifiedBy, Native American religious freedom]
-
A.
protectionReason
chosen
Indicates the justification or cause for which protection is provided or required in the relationship between entities.
-
B.
evidenceOfProtection
Indicates that something serves as proof or indication that protection or safeguarding is present or has occurred.
-
C.
protectsRight
Indicates that one entity safeguards, upholds, or defends the legal or moral rights of another entity.
-
D.
justificationUsedBy
Indicates that a particular justification is employed or relied upon by a given entity (such as a person, system, or decision).
-
E.
providesProtectionAgainst
Indicates that one entity serves to guard, shield, or defend another entity from a specified harm, threat, or adverse effect.
- 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_69f349c1304081909331872829e38106 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f728a345488190bd7e6751b09ac591 |
completed | May 3, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69f7283ef2608190a7a85d7e7f5332c0 |
completed | May 3, 2026, 10:49 a.m. |
Created at: May 1, 2026, 1:59 a.m.