Triple
T17759489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Württemberg-Hohenzollern |
E443330
|
entity |
| Predicate | hadReferendumOnMerger |
P73195
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Württemberg-Hohenzollern, hadReferendumOnMerger, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadReferendumOnMerger Context triple: [Württemberg-Hohenzollern, hadReferendumOnMerger, yes]
-
A.
referendumHeldAmong
Indicates that a referendum was conducted among a specified group or population as the decision-making body.
-
B.
heldReferendum
Indicates that an entity organized and conducted a referendum, typically allowing eligible participants to vote directly on a specific issue or proposal.
-
C.
referendumResult
chosen
Indicates the outcome or decision reached by voters in a specific referendum.
-
D.
referendumYesPercentage
Indicates the percentage of votes cast in favor of the "yes" option in a referendum.
-
E.
subjectOfReferendum
Indicates that something is the issue, proposal, or matter being decided upon in a referendum.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48420ad188190aeb0f4ec1d23ee5c |
completed | April 19, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e3cde9dc288190af0e2198487f2051 |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:10 a.m.