Triple
T369473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indo-Caribbean people |
E8235
|
entity |
| Predicate | diasporaIdentity |
P4294
|
FINISHED |
| Object | hybrid South Asian-Caribbean identity |
—
|
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: hybrid South Asian-Caribbean identity | Statement: [Indo-Caribbean people, diasporaIdentity, hybrid South Asian-Caribbean identity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diasporaIdentity Context triple: [Indo-Caribbean people, diasporaIdentity, hybrid South Asian-Caribbean identity]
-
A.
hasDiaspora
Indicates that a group, community, or population has members who have dispersed or settled outside their original homeland or region.
-
B.
identifierFor
Indicates that one entity serves as a unique identifying label or code for another entity.
-
C.
identityRevealedIn
Indicates that an entity’s true identity becomes known or disclosed within a specified context, source, or situation.
-
D.
identityComponent
chosen
Indicates that one entity functions as an identifying or defining part of another entity, contributing to its overall identity.
-
E.
hasIdentity
Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebfdb0608190b1794a871d0d237a |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e95ede588190998fdf3a6ea90498 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.