Triple
T369472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indo-Caribbean people |
E8235
|
entity |
| Predicate | modernOccupationPattern |
P8652
|
FINISHED |
| Object | diverse urban professions |
—
|
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: diverse urban professions | Statement: [Indo-Caribbean people, modernOccupationPattern, diverse urban professions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernOccupationPattern Context triple: [Indo-Caribbean people, modernOccupationPattern, diverse urban professions]
-
A.
derivesFromOccupation
Indicates that one entity originates from, is obtained through, or is a result of another entity’s occupation or professional role.
-
B.
urbanRole
chosen
Indicates the function, status, or role that an entity holds within an urban or city context.
-
C.
subjectOccupation
Indicates that the subject holds or performs a particular job, profession, or role as their occupation.
-
D.
residencyPattern
Indicates the typical way an entity resides or occupies a place over time, such as its usual location, duration, or frequency of stay.
-
E.
modernLocality
Indicates that an entity is located in, associated with, or corresponds to a present-day geographic or administrative locality.
- 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.