Triple
T8901434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | History of Economic Analysis |
E211937
|
entity |
| Predicate | placesInSeries |
P26455
|
FINISHED |
| Object | major works of Joseph Schumpeter |
—
|
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: major works of Joseph Schumpeter | Statement: [History of Economic Analysis, placesInSeries, major works of Joseph Schumpeter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placesInSeries Context triple: [History of Economic Analysis, placesInSeries, major works of Joseph Schumpeter]
-
A.
seriesLocation
Indicates that one entity is the place or venue where a series (such as events, performances, or installments) takes place.
-
B.
significantPlaceInSeries
Indicates that a place plays an important or notable role within the context of a particular series.
-
C.
appearsInSeries
chosen
Indicates that an entity is featured or occurs within a particular series.
-
D.
placeInSeries
Indicates the position or order that something occupies within a sequence or series.
-
E.
appearsInSeriesBy
Indicates that one entity (such as a work or character) is featured within a series that is created, authored, or produced by another entity.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc642a104081908df2d64e8f9ad0c8 |
completed | April 1, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2bfb38819083d5eb1af8ccf4d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:54 p.m.