Triple
T25331733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rani Rashmoni |
E635167
|
entity |
| Predicate | socialReformArea |
P41612
|
FINISHED |
| Object | public welfare |
—
|
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: public welfare | Statement: [Rani Rashmoni, socialReformArea, public welfare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialReformArea Context triple: [Rani Rashmoni, socialReformArea, public welfare]
-
A.
socialReformFocus
chosen
Indicates a focus on changing or improving social structures, policies, or conditions as part of a reform effort.
-
B.
socialContribution
Indicates that an entity engages in actions or provides resources that benefit society or a community beyond its own direct interests.
-
C.
socialCenter
Indicates that a place functions as a primary gathering point or hub for social interaction and community activities.
-
D.
reformsArea
Indicates that an entity is responsible for changing, improving, or restructuring a particular area or domain.
-
E.
socialSphere
Indicates the social environment or network within which an entity regularly interacts or maintains relationships.
- 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_69e75a9908108190a95427a97020632a |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 1:30 p.m.