Triple
T38556378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dukedom of Fife |
E925255
|
entity |
| Predicate | specialRemainderGrantedTo |
P168
|
FINISHED |
| Object | the 1st Duke’s daughters by Princess Louise |
—
|
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: the 1st Duke’s daughters by Princess Louise | Statement: [Dukedom of Fife, specialRemainderGrantedTo, the 1st Duke’s daughters by Princess Louise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: specialRemainderGrantedTo Context triple: [Dukedom of Fife, specialRemainderGrantedTo, the 1st Duke’s daughters by Princess Louise]
-
A.
placeGranted
Indicates that one entity has been given or allocated a position, spot, or placement by another entity.
-
B.
grantedBy
Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
-
C.
grantedTo
chosen
Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
-
D.
grantedAfter
Indicates that one entity is granted or conferred only after another specified event, condition, or action has occurred.
-
E.
statusGrantedOn
Indicates the date or time at which a particular status was officially conferred or became effective for an entity.
- 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_69f76eaeb69c8190b367df9330d6f6af |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
Created at: May 3, 2026, 4:32 p.m.