Triple
T28369053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles III of Ireland |
E718572
|
entity |
| Predicate | titleUsageNature |
P29608
|
FINISHED |
| Object | non-official |
—
|
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: non-official | Statement: [Charles III of Ireland, titleUsageNature, non-official]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleUsageNature Context triple: [Charles III of Ireland, titleUsageNature, non-official]
-
A.
titleUsage
chosen
Indicates how a title is applied, referenced, or used in relation to an entity or context.
-
B.
natureOfTitle
Indicates the specific type or character of a title in relation to the entity it is associated with.
-
C.
sharesNatureWith
Indicates that two entities possess the same fundamental characteristics, qualities, or essence.
-
D.
hasNature
Indicates that something possesses, exhibits, or is characterized by a particular inherent quality, essence, or fundamental type.
-
E.
scriptNature
Indicates that something concerns the inherent characteristics, type, or functional role of a script (e.g., its purpose, behavior, or classification).
- 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_69eff6ed5af48190be4e0adf298223e0 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: April 28, 2026, 12:58 a.m.