Triple
T24717148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paraguayan general elections |
E612193
|
entity |
| Predicate | officeChosen |
P157688
|
FINISHED |
| Object | members of the Chamber of Deputies of Paraguay |
—
|
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: members of the Chamber of Deputies of Paraguay | Statement: [Paraguayan general elections, officeChosen, members of the Chamber of Deputies of Paraguay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeChosen Context triple: [Paraguayan general elections, officeChosen, members of the Chamber of Deputies of Paraguay]
-
A.
officeChosen
chosen
Indicates that a particular office has been selected or designated from among available options.
-
B.
officeWon
Indicates that a candidate successfully secured an elected office or position as the result of an election or selection process.
-
C.
officeIs
Indicates that one entity serves as the office or official workplace location of another entity.
-
D.
officeIsIn
Indicates that one office is located within or inside another specified place or building.
-
E.
officeSucceededBy
Indicates that one office or position is followed or replaced by another office or position in a succession sequence.
- 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_69e2d7d6e7a48190bb43b0d8bb1137a0 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 3:38 a.m.