Triple
T1428621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Council of Geneva |
E30390
|
entity |
| Predicate | officeHeldByMember |
P28413
|
FINISHED |
| Object | President of the Grand Council of Geneva |
—
|
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: President of the Grand Council of Geneva | Statement: [Grand Council of Geneva, officeHeldByMember, President of the Grand Council of Geneva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHeldByMember Context triple: [Grand Council of Geneva, officeHeldByMember, President of the Grand Council of Geneva]
-
A.
memberHoldsOffice
Indicates that a member occupies or serves in a specific official position or office within an organization or governing body.
-
B.
officeHeldDuring
Indicates that a person occupied a specific official position during a particular time period.
-
C.
officeHeldIn
Indicates that a particular office or position is held within or associated with a specific geographic or administrative location.
-
D.
officeHeldByAuthor
Indicates that a particular office or official position is/was occupied or held by a specific author.
-
E.
officeHolderMayBe
Indicates that a specified person is permitted or eligible to hold a particular office or position.
- 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c500a9888190a16fbb1ec97a79c9 |
completed | March 1, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69a4c4771c9481908ae47c959debbe77 |
completed | March 1, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69a4c4feea448190b2b5071b28a5b608 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8 p.m.