Triple
T12472614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Party caucus in the New Zealand House of Representatives |
E298097
|
entity |
| Predicate | hasWhipTitle |
P65893
|
FINISHED |
| Object | Senior Whip |
—
|
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: Senior Whip | Statement: [National Party caucus in the New Zealand House of Representatives, hasWhipTitle, Senior Whip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWhipTitle Context triple: [National Party caucus in the New Zealand House of Representatives, hasWhipTitle, Senior Whip]
-
A.
hasTitleIn
chosen
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
B.
hasTitleFeature
Indicates that an entity possesses a specific characteristic, attribute, or element related to its title.
-
C.
hasTitleFrom
Indicates that one entity holds or uses a title that originates from, or is conferred by, another entity.
-
D.
usesTitle
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
-
E.
hasTitlePun
Indicates that an entity’s title involves a pun or wordplay, typically combining multiple meanings or sounds for humorous or clever effect.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e626dbc8190ac7dcdb542ba9b0c |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d3f701c81909dd0e00251ac8553 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.