Triple
T14062731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rani |
E338385
|
entity |
| Predicate | correspondsToTitleInEnglish |
P6688
|
FINISHED |
| Object | queen |
—
|
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: queen | Statement: [Rani, correspondsToTitleInEnglish, queen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correspondsToTitleInEnglish Context triple: [Rani, correspondsToTitleInEnglish, queen]
-
A.
titleInLanguage
Indicates that a specific title or name is expressed in a particular language.
-
B.
titleInEnglish
chosen
Indicates that an entity’s title or name is given in the English language.
-
C.
equivalentTitleInUnitedKingdom
Indicates that one entity has a title that is considered the equivalent of another entity’s title specifically within the context of the United Kingdom.
-
D.
equivalentTitleInEngland
Indicates that one title corresponds to an equivalent or matching title within the context of England’s system of titles.
-
E.
titleInLocalLanguage
Indicates that an entity’s title is expressed in the primary or native language of a specified place or community.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568876308190840361dcaf10bd45 |
completed | April 14, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69de05adef888190b023ab42ef5076b6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:21 p.m.