Triple
T13099369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gauri |
E310675
|
entity |
| Predicate | isUsedByAuthorToExamine |
P76312
|
FINISHED |
| Object | diaspora experience |
—
|
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: diaspora experience | Statement: [Gauri, isUsedByAuthorToExamine, diaspora experience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUsedByAuthorToExamine Context triple: [Gauri, isUsedByAuthorToExamine, diaspora experience]
-
A.
usedByAuthorTo
Indicates that something is employed or utilized by an author to achieve a particular purpose or effect.
-
B.
usedByAuthor
chosen
Indicates that something (such as a method, tool, or resource) is employed or utilized by an author.
-
C.
examinesAuthor
Indicates that one entity critically studies, analyzes, or evaluates the work, ideas, or contributions of an author.
-
D.
isStudiedUsing
Indicates that something serves as the method, tool, or approach by which something else is examined, analyzed, or researched.
-
E.
isUsedUnder
Indicates that one entity is utilized or applied within the context, conditions, or framework defined by another 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981500d34819097037b3c3c33627b |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:04 p.m.