Triple
T5061105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vijay Ghat |
E114022
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Veer Bhumi |
E18888
|
NE 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: Veer Bhumi | Statement: [Vijay Ghat, near, Veer Bhumi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veer Bhumi Context triple: [Vijay Ghat, near, Veer Bhumi]
-
A.
Veer
Veer is an honorific title in India signifying bravery and valor, often bestowed on distinguished warriors or freedom fighters such as Kunwar Singh.
-
B.
Veer Bhoomi
chosen
Veer Bhoomi is the memorial dedicated to former Indian Prime Minister Rajiv Gandhi, located near Raj Ghat in New Delhi.
-
C.
Shyam
Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
-
D.
Baz Bahadur
Baz Bahadur was the last independent Sultan of Malwa in 16th-century India, renowned for his romantic legend with Rani Roopmati and his patronage of music and the arts.
-
E.
Vikram
Vikram is a prominent Indian actor best known for his versatile and intense performances in Tamil-language films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74740ae08190930f1fd57187334e |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea49566548190bc6328996789ad9f |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:38 p.m.