Triple
T8057965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Is Called Thinking? |
E188046
|
entity |
| Predicate | lecturesHeldDuring |
P75976
|
FINISHED |
| Object | winter semester 1951–1952 |
—
|
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: winter semester 1951–1952 | Statement: [What Is Called Thinking?, lecturesHeldDuring, winter semester 1951–1952]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lecturesHeldDuring Context triple: [What Is Called Thinking?, lecturesHeldDuring, winter semester 1951–1952]
-
A.
lecturesHeldIn
Indicates that a lecture event takes place or is conducted within a specific location or venue.
-
B.
gaveLecturesAt
Indicates that a person delivered lectures or taught courses at a particular institution or location.
-
C.
yearLecturesDelivered
chosen
Indicates the specific year in which the lectures were delivered.
-
D.
numberOfLectures
Indicates the total count of lectures associated with a given entity or context.
-
E.
lectureSeries
Indicates a relationship where a set of lectures is organized and presented as a coherent, thematically linked series.
- 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fa3dd2481909e925304fcea2111 |
completed | March 31, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69cb049a1b9c8190811c396421ebf9c9 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:25 p.m.