Triple
T34085430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varalakshmi Vratam |
E874164
|
entity |
| Predicate | popularInState |
P104296
|
FINISHED |
| Object | Andhra Pradesh |
—
|
NE NERFINISHED |
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: Andhra Pradesh | Statement: [Varalakshmi Vratam, popularInState, Andhra Pradesh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularInState Context triple: [Varalakshmi Vratam, popularInState, Andhra Pradesh]
-
A.
regionPopularFor
Indicates that a particular region is well known or widely recognized for a specific activity, product, feature, or characteristic.
-
B.
regionPopularWith
Indicates that a particular region is favored or frequently visited by a specified group or type of people.
-
C.
popularFor
Indicates that something is widely liked, recognized, or favored specifically because of a particular feature, quality, or use.
-
D.
isPopularAt
chosen
Indicates that an entity enjoys a high level of recognition, approval, or favor within a specified place, context, or time.
-
E.
popularInPeriod
Indicates that something is widely liked, used, or influential during a specified time period.
- 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_69f349a61d448190b74642f325d3eb7a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: May 1, 2026, 1:52 a.m.