Triple
T362409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of New Zealand |
E7884
|
entity |
| Predicate | titleInLaw |
P5175
|
FINISHED |
| Object | King in right of New Zealand |
—
|
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: King in right of New Zealand | Statement: [King of New Zealand, titleInLaw, King in right of New Zealand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleInLaw Context triple: [King of New Zealand, titleInLaw, King in right of New Zealand]
-
A.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
B.
titleType
Indicates the specific category or kind of title associated with an entity (e.g., whether it is a main title, alternative title, working title, etc.).
-
C.
claimedTitle
Indicates that an entity asserts or declares possession of a particular title or rank.
-
D.
associatedTitle
chosen
Indicates that one entity has a title, designation, or formal label that is linked or relevant to another entity.
-
E.
popularNameOfLawAtIssue
Indicates the commonly used or well-known name by which the law in question is referred to.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebcfb0f48190b9a9010c7837ac58 |
completed | Feb. 28, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69a2e95c843c8190b2aba9af6e869ba1 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.