Triple
T24717108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamber of Deputies with 80 members |
E612192
|
entity |
| Predicate | isChamberIn |
P33004
|
FINISHED |
| Object | bicameral legislature 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: bicameral legislature of Paraguay | Statement: [Chamber of Deputies with 80 members, isChamberIn, bicameral legislature of Paraguay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isChamberIn Context triple: [Chamber of Deputies with 80 members, isChamberIn, bicameral legislature of Paraguay]
-
A.
isChamber
Indicates that one entity functions as a chamber, room, or enclosed space in relation to another entity.
-
B.
includesChamber
chosen
Indicates that one entity contains or encompasses a specific chamber as part of its structure or composition.
-
C.
isChamberAlongside
Indicates that one chamber is positioned directly beside or adjacent to another chamber.
-
D.
isPrincipalChamberOf
Indicates that one chamber serves as the main or primary chamber associated with another entity or structure.
-
E.
appliesToChamber
Indicates that something is relevant or specifically associated with a particular chamber (such as a room, legislative body, or compartment).
- 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_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:38 a.m.