Triple
T441107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangalore English |
E10114
|
entity |
| Predicate | typicalSpeakers |
P3327
|
FINISHED |
| Object | young professionals in Bengaluru |
—
|
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: young professionals in Bengaluru | Statement: [Bangalore English, typicalSpeakers, young professionals in Bengaluru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSpeakers Context triple: [Bangalore English, typicalSpeakers, young professionals in Bengaluru]
-
A.
typicalSpeaker
chosen
Indicates that the subject is a prototypical or characteristic speaker or source of utterances in the context of the object.
-
B.
religionAssociatedWithSpeakers
Indicates a relationship where a particular religion is associated with, practiced by, or identified as belonging to specific speakers.
-
C.
spokeAt
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
-
D.
typicalCandidate
Indicates that an entity is a standard or representative example of what is usually considered a candidate in a given context.
-
E.
hasOfficialSpokespersons
Indicates that an entity is formally represented or spoken for by one or more designated spokespersons in an official capacity.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef2af84881909635ebbbb3465b1b |
completed | Feb. 28, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69a2eddcf50c8190bfa0d1f8ee9f604a |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.