Triple
T10155696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plácido |
E232769
|
entity |
| Predicate | associatedWithNationalityOfNotableBearer |
P58615
|
FINISHED |
| Object | Spanish |
—
|
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: Spanish | Statement: [Plácido, associatedWithNationalityOfNotableBearer, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithNationalityOfNotableBearer Context triple: [Plácido, associatedWithNationalityOfNotableBearer, Spanish]
-
A.
associatedWithNotableBearerNationality
chosen
Indicates that an entity is connected to the nationality of a notable bearer of a related name or title.
-
B.
notableBearerNationality
Indicates that the subject has a notable bearer whose nationality is the specified object.
-
C.
associatedWithNationality
Indicates that one entity has a connection or affiliation with the nationality of another entity.
-
D.
notableNationalityContext
Indicates that the subject’s nationality is notable or contextually relevant in relation to the associated entity or situation.
-
E.
notableNationality
Indicates that an entity is notably associated with a particular nationality, often by origin, citizenship, or cultural identity.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec3a5e7c819098b2f9ccbde7cf94 |
completed | April 2, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:09 p.m.