Triple
T15637319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | government of Niue |
E375978
|
entity |
| Predicate | premierTermDependentOn |
P119551
|
FINISHED |
| Object | confidence of Niue Assembly |
—
|
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: confidence of Niue Assembly | Statement: [government of Niue, premierTermDependentOn, confidence of Niue Assembly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: premierTermDependentOn Context triple: [government of Niue, premierTermDependentOn, confidence of Niue Assembly]
-
A.
premierNumber
Indicates that the entity is identified as the first or leading item in an ordered sequence, such as a top-ranked or primary position.
-
B.
hasPremier
Indicates that an entity has a specific individual serving as its premier (head of government).
-
C.
precededInFirstTermBy
Indicates that one entity appears immediately before another entity within the first term or component of a structured expression or sequence.
-
D.
firstTerms
Indicates that the related entities are the initial elements or starting terms in a sequence, series, or ordered collection.
-
E.
firstTermStart
Indicates that an entity marks the starting point or initial term in an ordered sequence, period, or agreement.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eba51f08190ac5d9de7fc89405a |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:14 a.m.