Triple
T35437079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papua New Guinea parliamentary constituencies |
E1024239
|
entity |
| Predicate | numberOfOpenElectorates |
P97578
|
FINISHED |
| Object | 89 |
—
|
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: 89 | Statement: [Papua New Guinea parliamentary constituencies, numberOfOpenElectorates, 89]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfOpenElectorates Context triple: [Papua New Guinea parliamentary constituencies, numberOfOpenElectorates, 89]
-
A.
numberOfElectorates
chosen
Indicates the total count of electoral districts or constituencies associated with a given entity.
-
B.
electorateNumber
Indicates the numerical identifier assigned to a specific electorate or voting district within an electoral system.
-
C.
hasParallelElectorates
Indicates that two electoral systems or jurisdictions share corresponding or equivalent electorates that function in parallel.
-
D.
electoratesCalled
Indicates that specific electoral districts or constituencies are given particular names or designations.
-
E.
numberOfFPTPSeats
Indicates the number of seats obtained or allocated through a first-past-the-post (FPTP) electoral system.
- 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.