Triple
T7807892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson’s letter to the Danbury Baptists |
E180601
|
entity |
| Predicate | statesPositionOn |
P36043
|
FINISHED |
| Object | religious liberty |
—
|
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: religious liberty | Statement: [Jefferson’s letter to the Danbury Baptists, statesPositionOn, religious liberty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statesPositionOn Context triple: [Jefferson’s letter to the Danbury Baptists, statesPositionOn, religious liberty]
-
A.
statePosition
Indicates the spatial or situational position or status of an entity within a defined context or system.
-
B.
positionInState
Indicates that one entity occupies or holds a specific position, role, or status within a particular state or condition of another entity.
-
C.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
D.
positionOnStatePower
chosen
Indicates a stance or viewpoint an entity holds regarding the nature, scope, or use of state power.
-
E.
positionOnTerritory
Indicates that one entity occupies or is located at a specific position within the spatial extent of another entity’s territory.
- 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae91687788190af9cb7aaa996d291 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:36 p.m.