Triple
T20961385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anhilwad Patan |
E516254
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Vanraj Chavda |
—
|
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: Vanraj Chavda | Statement: [Anhilwad Patan, foundedBy, Vanraj Chavda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanraj Chavda Context triple: [Anhilwad Patan, foundedBy, Vanraj Chavda]
-
A.
Vanraj Chavda
chosen
Vanraj Chavda was a medieval Chavda dynasty ruler of Gujarat, known for establishing the city of Patan as a significant regional capital.
-
B.
Vrajesh Hirjee
Vrajesh Hirjee is an Indian actor and comedian best known for his comic roles in Hindi films and television.
-
C.
Izak Chavan
Izak Chavan is an actor known for appearing in the television series "Good Girls."
-
D.
Karsanbhai Patel
Karsanbhai Patel is an Indian industrialist and philanthropist best known for founding the Nirma brand of detergents and building it into a major consumer goods empire.
-
E.
Ram V. Sutar
Ram V. Sutar is an acclaimed Indian sculptor renowned for creating monumental statues, including some of the world's tallest and most prominent public sculptures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6f134081908b1ed48ce708f3d5 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:31 p.m.