Triple
T32872920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 23rd Regiment of Foot |
E840838
|
entity |
| Predicate | grantedRoyalTitleInYear |
P14035
|
FINISHED |
| Object | 1713 |
—
|
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: 1713 | Statement: [23rd Regiment of Foot, grantedRoyalTitleInYear, 1713]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedRoyalTitleInYear Context triple: [23rd Regiment of Foot, grantedRoyalTitleInYear, 1713]
-
A.
dateGrantedTitleRoyal
Indicates the specific date on which a royal title was formally granted to an entity.
-
B.
royalDesignationYear
chosen
Indicates the year in which an entity was formally granted or recognized with a royal status or designation.
-
C.
monarchWhoGrantedTitle
Indicates the monarch who conferred or bestowed a particular title upon an individual.
-
D.
royalTitleConfirmed
Indicates that an individual's royal title has been formally validated or officially recognized.
-
E.
yearGivenToBritishCrown
Indicates the specific year in which authority or control over an entity was formally transferred to the British Crown.
- 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_69f349436ee88190b72ee12d0f3f508e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 1, 2026, 1:17 a.m.