Triple
T14608775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Introduction à la lecture de Hegel |
E342900
|
entity |
| Predicate | originalLecturePeriod |
P45279
|
FINISHED |
| Object | 1933–1939 |
—
|
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: 1933–1939 | Statement: [Introduction à la lecture de Hegel, originalLecturePeriod, 1933–1939]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLecturePeriod Context triple: [Introduction à la lecture de Hegel, originalLecturePeriod, 1933–1939]
-
A.
lectureSeries
chosen
Indicates a relationship where a set of lectures is organized and presented as a coherent, thematically linked series.
-
B.
numberOfLectures
Indicates the total count of lectures associated with a given entity or context.
-
C.
originalBroadcastPeriod
Indicates the time span during which a work was first broadcast or aired in its original run.
-
D.
lecturesHeldIn
Indicates that a lecture event takes place or is conducted within a specific location or venue.
-
E.
timePeriodOrigin
Indicates that one entity is the time period in which the other entity originated or first came into existence.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44f0dd48190a78662b5998a6722 |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656f9f4c81909f815b6629a9ee39 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.