Triple

T5700306
Position Surface form Disambiguated ID Type / Status
Subject Forest of Peace E125641 entity
Predicate nearbyMemorial P7682 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: [Forest of Peace, nearbyMemorial, Veer Bhumi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veer Bhumi
Context triple: [Forest of Peace, nearbyMemorial, 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. Paan Singh Tomar
    Paan Singh Tomar is a 2012 Indian biographical film that chronicles the life of an Indian Army soldier and national steeplechase champion who becomes a notorious Chambal Valley bandit.
  • C. Krantiveer
    Krantiveer is a 1994 Hindi-language Indian action drama film known for its intense social themes and powerful performances.
  • D. Veer Bhoomi chosen
    Veer Bhoomi is the memorial dedicated to former Indian Prime Minister Rajiv Gandhi, located near Raj Ghat in New Delhi.
  • E. 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.
  • 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_69c0082c96988190b3a6a201edce472a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0241030408190be774a5d2ca6e999 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07de28424819090ff1f4a4b6cc9c0 completed March 22, 2026, 11:40 p.m.
Created at: March 22, 2026, 3:45 p.m.