Triple
T4465438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parliament of Tuvalu |
E98365
|
entity |
| Predicate | eachConstituencyElects |
P38391
|
FINISHED |
| Object | 2 members |
—
|
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: 2 members | Statement: [Parliament of Tuvalu, eachConstituencyElects, 2 members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eachConstituencyElects Context triple: [Parliament of Tuvalu, eachConstituencyElects, 2 members]
-
A.
eachDistrictElects
chosen
Indicates that every electoral district selects or chooses its own representative or set of representatives.
-
B.
hasNumberOfConstituencies
Indicates the specific count of constituencies associated with an entity.
-
C.
electoralConstituencies
Indicates a relationship where a geographic or political area is divided into specific electoral constituencies used for representation or voting.
-
D.
constituency
Indicates that one entity functions as a constituent or component part within the structural or organizational makeup of another entity.
-
E.
hasSeatsForConstituency
Indicates that a governing body or institution allocates or provides a certain number of representative seats for a specific constituency.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35697937c8190b91f72d9e4f945f6 |
completed | March 13, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69b34f65f6448190abfadb2ae5658798 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:34 p.m.