Triple
T8820431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hispanic diaspora |
E209890
|
entity |
| Predicate | maintainsSocialTie |
P26922
|
FINISHED |
| Object | family networks |
—
|
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: family networks | Statement: [Hispanic diaspora, maintainsSocialTie, family networks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maintainsSocialTie Context triple: [Hispanic diaspora, maintainsSocialTie, family networks]
-
A.
maintainsTieWith
chosen
Indicates that one entity keeps an ongoing connection or relationship with another entity over time.
-
B.
maintainsThrough
Indicates that one entity preserves, upholds, or continues a state, condition, or relationship by means of another specified entity, process, or medium.
-
C.
soughtToMaintain
Indicates an entity’s deliberate effort or intention to keep another entity or condition in its existing state over time.
-
D.
maintainOrganizationIn
Indicates that an entity is responsible for keeping an organization operating or existing within a specified location or context.
-
E.
maintainsTransnationalTies
Indicates that an entity sustains ongoing social, economic, political, or cultural connections that span across national borders.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc600fbbac8190ad36d93fff60a33f |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c21e64c81908490e3b0875dc0d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:46 p.m.