Triple
T4720239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | María del Carmen Franco y Polo |
E104745
|
entity |
| Predicate | nobleTitleGrantDate |
P19179
|
FINISHED |
| Object | 1975-11-26 |
—
|
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: 1975-11-26 | Statement: [María del Carmen Franco y Polo, nobleTitleGrantDate, 1975-11-26]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nobleTitleGrantDate Context triple: [María del Carmen Franco y Polo, nobleTitleGrantDate, 1975-11-26]
-
A.
nobleTitleCreationDate
Indicates the date on which a particular noble title was formally created or granted.
-
B.
nobleTitleStartDate
chosen
Indicates the date on which an entity first acquired or began holding a particular noble title.
-
C.
dateOfKnighthood
Indicates the specific date on which an individual was formally granted knighthood.
-
D.
dateOfElevationToPeerage
Indicates the specific date on which an individual was formally elevated to a rank of nobility or peerage.
-
E.
monarchWhoGrantedTitle
Indicates the monarch who conferred or bestowed a particular title upon an individual.
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd680beb508190b3d74e20e1c64405 |
completed | March 20, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69bd621ddcd88190903288566f5e5dab |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:18 p.m.