Triple
T4693086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese elections |
E104078
|
entity |
| Predicate | usesMultiMemberDistricts |
P58846
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Portuguese elections, usesMultiMemberDistricts, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMultiMemberDistricts Context triple: [Portuguese elections, usesMultiMemberDistricts, true]
-
A.
hasElectoralDistricts
Indicates that a political or administrative unit is divided into one or more electoral districts used for representation or voting.
-
B.
hasMembersPerState
Indicates a relationship that specifies how many members are associated with each state.
-
C.
eachDistrictElects
Indicates that every electoral district selects or chooses its own representative or set of representatives.
-
D.
hasCouncilDistrict
Indicates that an entity is located within or represented by a specific council district.
-
E.
hasNumberOfConstituencies
Indicates the specific count of constituencies associated with an entity.
- F. None of above. chosen
Provenance (4 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd66059bfc8190885d26d05dd38df1 |
completed | March 20, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69bd6219da948190bbbb50f08573ab4d |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd660414b08190ab37467755d383b5 |
completed | March 20, 2026, 3:21 p.m. |
Created at: March 20, 2026, 1:16 p.m.