Triple
T3069937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lectures on the Philosophy of Religion |
E63994
|
entity |
| Predicate | lecturesHeldIn |
P44244
|
FINISHED |
| Object | 1821 |
—
|
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: 1821 | Statement: [Lectures on the Philosophy of Religion, lecturesHeldIn, 1821]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lecturesHeldIn Context triple: [Lectures on the Philosophy of Religion, lecturesHeldIn, 1821]
-
A.
gaveLecturesAt
Indicates that a person delivered lectures or taught courses at a particular institution or location.
-
B.
hasLecturer
Indicates that an educational course, class, or module is taught or overseen by a specific lecturer.
-
C.
conferenceAtTheTime
Indicates that an event or situation occurs during the time period in which a specified conference is taking place.
-
D.
taughtCourse
Indicates that an entity (typically an instructor) has taught a particular course.
-
E.
spokeAt
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
- F. None of above. chosen
Provenance (4 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_69ad857a8aec8190bfdfd9c14554ac5a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada100f0b8819095da366fdc6803a8 |
completed | March 8, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f7630c81908e1ca8a69611cff6 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.