Triple
T1094191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varhadi |
E24233
|
entity |
| Predicate | categorizedUnder |
P87
|
FINISHED |
| Object | Languages of Maharashtra |
—
|
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: Languages of Maharashtra | Statement: [Varhadi, categorizedUnder, Languages of Maharashtra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categorizedUnder Context triple: [Varhadi, categorizedUnder, Languages of Maharashtra]
-
A.
category
chosen
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
B.
commonsCategory
Indicates that an entity is associated with a specific media or topic category on Wikimedia Commons.
-
C.
locatedUnder
Indicates that one entity is positioned directly or generally beneath another entity in space.
-
D.
catalog
Indicates the action of systematically listing, organizing, or recording items or information into a structured collection or database.
-
E.
plannedUnder
Indicates that one entity has been scheduled, organized, or arranged to occur within the scope, authority, or framework of 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99d1e8c81909cf1178d68d38885 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b743175481908f3967e589717c55 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.