Triple

T21764512
Position Surface form Disambiguated ID Type / Status
Subject Adela Quested E537242 entity
Predicate associatedWithLocation P2830 FINISHED
Object Chandrapore 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: Chandrapore | Statement: [Adela Quested, associatedWithLocation, Chandrapore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chandrapore
Context triple: [Adela Quested, associatedWithLocation, Chandrapore]
  • A. Balashikha
    Balashikha is a large suburban city just east of Moscow, known as one of the most populous cities in Moscow Oblast and a significant residential and industrial center in the region.
  • B. Malgudi chosen
    Malgudi is a fictional South Indian town that serves as the vivid, recurring setting for many of R. K. Narayan’s novels and short stories.
  • C. Islampur
    Islampur is a town in the Indian state of West Bengal, known as a local commercial and administrative center in the northern part of the state.
  • D. Chandranigahapur
    Chandranigahapur is a town in southern Nepal known as a local commercial and transportation hub within the Terai region.
  • E. Gangabai
    Gangabai was the mother of Madhav Rao II, a prominent Maratha Peshwa of the late 18th century.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031a8a7f08190a4e50ebc24219585 completed April 28, 2026, 4:03 a.m.
Created at: April 16, 2026, 6:51 p.m.