Triple
T33872455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangaian people |
E868253
|
entity |
| Predicate | hasTraditionalAuthorityTitle |
P118741
|
FINISHED |
| Object | ariki |
—
|
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: ariki | Statement: [Mangaian people, hasTraditionalAuthorityTitle, ariki]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalAuthorityTitle Context triple: [Mangaian people, hasTraditionalAuthorityTitle, ariki]
-
A.
hasMonarchTitleSince
Indicates that an entity has held a specific monarch title continuously starting from a given point in time.
-
B.
traditionalTitleOfLeader
chosen
Indicates the customary or historically recognized title used to refer to a particular leader.
-
C.
headOfStateTitle
Indicates the official title held by the person who serves as the head of state of a country or political entity.
-
D.
hasRoyalTitleType
Indicates that an entity holds a royal title of a specified type (e.g., king, queen, prince).
-
E.
hasRoyalEpithets
Indicates that an entity is associated with one or more honorific or ceremonial titles traditionally used for royalty.
- 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_69f34995029081909ede0f7df73d1a5e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff49f888348190b9c55afa73b99e6a |
completed | May 9, 2026, 2:51 p.m. |
| PD | Predicate disambiguation | batch_69ff49614ef88190ac70b034c55ad738 |
completed | May 9, 2026, 2:49 p.m. |
Created at: May 1, 2026, 1:47 a.m.