Triple
T7236731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamber of Deputies of Paraguay |
E155247
|
entity |
| Predicate | hasConstituencies |
P73305
|
FINISHED |
| Object | Paraguayan departments |
—
|
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: Paraguayan departments | Statement: [Chamber of Deputies of Paraguay, hasConstituencies, Paraguayan departments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConstituencies Context triple: [Chamber of Deputies of Paraguay, hasConstituencies, Paraguayan departments]
-
A.
hasNumberOfConstituencies
Indicates the specific count of constituencies associated with an entity.
-
B.
containsConstituency
chosen
Indicates that one entity includes or encompasses another entity as part of its constituency or membership.
-
C.
hasElectoralDistricts
Indicates that a political or administrative unit is divided into one or more electoral districts used for representation or voting.
-
D.
hasSeatsForConstituency
Indicates that a governing body or institution allocates or provides a certain number of representative seats for a specific constituency.
-
E.
representsConstituenciesIn
Indicates that an entity serves as the elected or official representative of certain constituencies within a specified governing body or jurisdiction.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea552a688190a00f5d0ad982f787 |
completed | March 27, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69c6e7644648819096a5e2de5d0dbe97 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:55 p.m.