Triple
T12205124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hispano |
E290815
|
entity |
| Predicate | ethnicDistinctivenessFrom |
P67732
|
FINISHED |
| Object | recent Latin American immigrants |
—
|
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: recent Latin American immigrants | Statement: [Hispano, ethnicDistinctivenessFrom, recent Latin American immigrants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicDistinctivenessFrom Context triple: [Hispano, ethnicDistinctivenessFrom, recent Latin American immigrants]
-
A.
ethnicPluralityOf
Indicates that one ethnic group constitutes the largest share of the population within a given place or entity, though not necessarily an absolute majority.
-
B.
hasDistinctCultureFrom
chosen
Indicates that the culture of one entity is different and distinguishable from the culture of another entity.
-
C.
sharesEthnicity
Indicates that two entities belong to the same ethnic group or share the same ethnic background.
-
D.
ethnicAspect
Indicates a relationship where one entity reflects, involves, or characterizes the ethnic background, identity, or attributes of another entity.
-
E.
ethnicCategoryIn
Indicates that an entity belongs to or is classified within a specified ethnic category in a given context.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.