Triple
T3253232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Councillor |
E68233
|
entity |
| Predicate | typicalPortfolio |
P46877
|
FINISHED |
| Object | foreign policy leadership |
—
|
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: foreign policy leadership | Statement: [State Councillor, typicalPortfolio, foreign policy leadership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPortfolio Context triple: [State Councillor, typicalPortfolio, foreign policy leadership]
-
A.
portfolioOf
Indicates that one entity is the collection of investments, works, or assets that are owned, managed, or represented by another entity.
-
B.
studioOfWork
Indicates that a particular studio is the place where a given work (such as a film, artwork, or recording) was created, produced, or primarily developed.
-
C.
typicalProjectTypes
Indicates the kinds or categories of projects that are most commonly or characteristically associated with a given entity.
-
D.
typicalProfile
Indicates that an entity represents the standard or most representative profile or pattern for another entity.
-
E.
settingOfWorks
Indicates that a place or environment serves as the primary setting where the events or narratives of one or more works take place.
- 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf640fd8819083c3c0cc41db2ffc |
completed | March 8, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69ada41ae74081909a0d1d696be8e35e |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:09 p.m.