Triple
T34038162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretary-General of the European Commission |
E872864
|
entity |
| Predicate | isCivilServicePostOf |
P62141
|
FINISHED |
| Object | European Union |
—
|
NE NERFINISHED |
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: European Union | Statement: [Secretary-General of the European Commission, isCivilServicePostOf, European Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCivilServicePostOf Context triple: [Secretary-General of the European Commission, isCivilServicePostOf, European Union]
-
A.
isCivilianOffice
Indicates that an office or position is non-military and belongs to the civilian sphere of authority or administration.
-
B.
positionOnCivilService
chosen
Indicates the role, rank, or status an individual holds within a civil service system.
-
C.
isMilitaryOffice
Indicates that an entity holds or is designated as a military office or official position within an armed forces structure.
-
D.
isOfficerOf
Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
-
E.
isPoliticallyAppointed
Indicates that an individual holds a position or role obtained through a political appointment rather than through election, merit-based selection, or other non-political processes.
- 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_69f349a3363081909cea4c9a848cefe2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:51 a.m.