Triple
T24746884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Oscar, Duke of Gotland |
E619022
|
entity |
| Predicate | dateGrantedTitleCountOfWisborg |
P53209
|
FINISHED |
| Object | 1892-04-02 |
—
|
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: 1892-04-02 | Statement: [Prince Oscar, Duke of Gotland, dateGrantedTitleCountOfWisborg, 1892-04-02]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateGrantedTitleCountOfWisborg Context triple: [Prince Oscar, Duke of Gotland, dateGrantedTitleCountOfWisborg, 1892-04-02]
-
A.
titleGrantedInYear
Indicates that a particular title was formally granted or conferred in a specified year.
-
B.
dateGrantedHonorificTitle
chosen
Indicates the date on which an entity was formally awarded or granted an honorific title.
-
C.
EuropeanTitleCount
Indicates the number of European titles (such as championships or major continental honors) that an entity has won or holds.
-
D.
nobleTitleNumber
Indicates the ordinal number or sequence position associated with a person's noble title (e.g., first duke, second baron).
-
E.
countyTitleGranted
Indicates that a county-level noble title has been formally granted to an entity by an appropriate authority.
- 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_69e2fabb349881908a13a212a0221a63 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:22 a.m.