Triple

T874311
Position Surface form Disambiguated ID Type / Status
Subject Rajiv Gandhi E18881 entity
Predicate memorial P501 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: [Rajiv Gandhi, memorial, Veer Bhumi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veer Bhumi
Context triple: [Rajiv Gandhi, memorial, Veer Bhumi]
  • A. Veer Bhoomi chosen
    Veer Bhoomi is the memorial dedicated to former Indian Prime Minister Rajiv Gandhi, located near Raj Ghat in New Delhi.
  • B. Man Singh
    Man Singh was an Indian noble and close associate of Nana Sahib who played a role in the events of the 1857 Indian Rebellion.
  • C. Jagat Singh
    Jagat Singh was a brother of Indian revolutionary Bhagat Singh, belonging to the same politically active Sandhu Jat Sikh family from Punjab.
  • D. Akali Phula Singh
    Akali Phula Singh was a prominent Sikh warrior-monk and military leader renowned for his bravery and key role in expanding and defending the Sikh Empire in the early 19th century.
  • E. Ram Singh
    Ram Singh is a fictional character who serves as the central figure in the narrative of the work titled "Class."
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac992d8c819088800f5a713fa7a4 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b84fb2d0819084c256023bc23dc5 completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:39 p.m.