Triple
T14561951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Cyprus (titular) |
E341688
|
entity |
| Predicate | natureOfTitle |
P114695
|
FINISHED |
| Object | honorific |
—
|
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: honorific | Statement: [King of Cyprus (titular), natureOfTitle, honorific]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: natureOfTitle Context triple: [King of Cyprus (titular), natureOfTitle, honorific]
-
A.
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.).
-
B.
titleIIPurpose
Indicates that something states or defines the intended purpose or objective of Title II within a legal or regulatory framework.
-
C.
titleBasis
Indicates that one entity serves as the basis or source material for the title or name of another entity.
-
D.
hasTitleInLaw
Indicates that an entity holds or is designated by a specific formal title as defined or recognized in law.
-
E.
title
Indicates that one entity serves as the formal name or designation of another entity.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb389d0f48190a1d9d69456d1cbe1 |
completed | April 14, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb5ac548190932f238e37271741 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:23 a.m.