Triple
T26102800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto Rican-Venezuelan American |
E658457
|
entity |
| Predicate | panEthnicCategory |
P150885
|
FINISHED |
| Object | Hispanic |
—
|
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: Hispanic | Statement: [Puerto Rican-Venezuelan American, panEthnicCategory, Hispanic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: panEthnicCategory Context triple: [Puerto Rican-Venezuelan American, panEthnicCategory, Hispanic]
-
A.
ethnicCategoryIn
Indicates that an entity belongs to or is classified within a specified ethnic category in a given context.
-
B.
EthnicaType
Indicates a relationship where an entity is classified according to a specific ethnic category or type.
-
C.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
D.
otherEthnicGroup
Indicates that one entity belongs to a different ethnic group than the other entity.
-
E.
ethnicOrCulturalGroup
chosen
Indicates that one entity belongs to, is associated with, or is characterized by a particular ethnic or cultural group represented by the other entity.
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6077370d081908074987cb49c4ee9 |
completed | May 2, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 7:56 p.m.