Triple
T11613860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Separatists in Leiden |
E275452
|
entity |
| Predicate | timeInLeidenCharacterizedBy |
P42651
|
FINISHED |
| Object | relative religious toleration |
—
|
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: relative religious toleration | Statement: [English Separatists in Leiden, timeInLeidenCharacterizedBy, relative religious toleration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInLeidenCharacterizedBy Context triple: [English Separatists in Leiden, timeInLeidenCharacterizedBy, relative religious toleration]
-
A.
distanceToLeiden
Indicates the measured spatial distance between a given entity and the location Leiden.
-
B.
timeLocatedIn
Indicates that an event, state, or entity occurs, exists, or is valid within a specified time or temporal interval.
-
C.
spendsTimeAt
Indicates that an entity regularly or repeatedly uses time at a particular place or location.
-
D.
locationPeriod
Indicates that an entity is associated with being at a particular location during a specified time period.
-
E.
timeCharacteristic
chosen
Indicates a relationship where one entity specifies a temporal property, feature, or constraint that characterizes another entity or event.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a044a3088190b92f4674c2d0b443 |
completed | April 10, 2026, 7:01 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.