Triple
T24030717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martín de Villarroel |
E595096
|
entity |
| Predicate | hasGeographicOriginOfFamilyName |
P3325
|
FINISHED |
| Object | Spain |
—
|
NE NERFINISHED |
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: Spain | Statement: [Martín de Villarroel, hasGeographicOriginOfFamilyName, Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeographicOriginOfFamilyName Context triple: [Martín de Villarroel, hasGeographicOriginOfFamilyName, Spain]
-
A.
hasTypicalGeographicOrigin
Indicates that an entity is commonly or characteristically associated with originating from a particular geographic location.
-
B.
hasAncestralFamilyNameMeaning
Indicates that an entity’s ancestral family name carries a specific meaning or significance.
-
C.
hasNameOrigin
chosen
Indicates that the origin or source of an entity’s name is specified by the related entity.
-
D.
notableFamilyOrigin
Indicates that an entity is recognized for originating from, or being notably associated with, a particular family background or lineage.
-
E.
hasPossibleEthnicOriginOfSurname
Indicates that a surname is associated with, or can plausibly originate from, a particular ethnic group or ethnicity.
- 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_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d76fbedc8190a2f936729cb69993 |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:55 p.m.