Triple
T16231735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Calvert, 1st Baron Baltimore |
E393997
|
entity |
| Predicate | aimOfMarylandProject |
P64674
|
FINISHED |
| Object | haven for English Catholics |
—
|
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: haven for English Catholics | Statement: [George Calvert, 1st Baron Baltimore, aimOfMarylandProject, haven for English Catholics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimOfMarylandProject Context triple: [George Calvert, 1st Baron Baltimore, aimOfMarylandProject, haven for English Catholics]
-
A.
aimOf
chosen
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
B.
intendedMission
Indicates that one entity is the planned or designated mission, task, or objective associated with another entity.
-
C.
aimsToModel
Indicates that one entity is intended or designed to represent, simulate, or approximate the behavior, structure, or properties of another entity.
-
D.
capturesMissionOf
Indicates that one entity records, represents, or encapsulates the mission or overarching purpose of another entity.
-
E.
missionTo
Indicates that one entity is assigned, directed, or sent to carry out a specific mission involving another entity or location.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d29fa248190943f4c3f7808908b |
completed | April 17, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.