Triple
T16614740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spinetta, Cuneo, Kingdom of Sardinia |
E403667
|
entity |
| Predicate | hasNotableFieldOfBornPerson |
P123555
|
FINISHED |
| Object | mathematics |
—
|
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: mathematics | Statement: [Spinetta, Cuneo, Kingdom of Sardinia, hasNotableFieldOfBornPerson, mathematics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableFieldOfBornPerson Context triple: [Spinetta, Cuneo, Kingdom of Sardinia, hasNotableFieldOfBornPerson, mathematics]
-
A.
hasNotablePersonBornHere
Indicates that a notable or distinguished person was born at the referenced place.
-
B.
hasNotablePeople
Indicates that certain people associated with an entity are distinguished or noteworthy in some recognized way.
-
C.
notableMemberBirthName
Indicates the birth name of a notable member associated with an entity.
-
D.
notableField
Indicates the field, discipline, or area of activity for which an entity is especially known or distinguished.
-
E.
containsBirthplaceTown
Indicates that one entity includes or specifies the town where another entity was born.
- F. None of above. chosen
Provenance (4 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3609935a88190baa56f3a42b2ecd1 |
completed | April 18, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_69e296aabc508190b3836a91b49113ad |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:17 a.m.