Triple
T34677993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czechoslovak parliamentary election of 1935 |
E890542
|
entity |
| Predicate | wasLastPreWorldWarIINationalElectionIn |
P125841
|
FINISHED |
| Object | Czechoslovakia |
—
|
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: Czechoslovakia | Statement: [Czechoslovak parliamentary election of 1935, wasLastPreWorldWarIINationalElectionIn, Czechoslovakia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasLastPreWorldWarIINationalElectionIn Context triple: [Czechoslovak parliamentary election of 1935, wasLastPreWorldWarIINationalElectionIn, Czechoslovakia]
-
A.
lastElectionCountry
chosen
Indicates that a given election was the most recent (last-held) election for a specified country.
-
B.
wasEarlyElection
Indicates that an election was held earlier than its originally scheduled or expected date.
-
C.
wasFirstPresidentialElectionAfter
Indicates that one presidential election was the first to occur after another specified presidential election.
-
D.
lastElection
Indicates the most recent electoral event associated with an entity, such as the latest election in which it participated or was affected.
-
E.
isWartimeElection
Indicates that an election takes place during an ongoing war or armed conflict.
- 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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f72325328881909479ba3ff5cc804f |
completed | May 3, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:05 a.m.