Triple

T21032728
Position Surface form Disambiguated ID Type / Status
Subject Shimla district E518103 entity
Predicate contains P35 FINISHED
Object Mashobra 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: Mashobra | Statement: [Shimla district, contains, Mashobra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mashobra
Context triple: [Shimla district, contains, Mashobra]
  • A. Mashobra chosen
    Mashobra is a serene hill town near Shimla in Himachal Pradesh, India, known for its lush forests, apple orchards, and tranquil mountain scenery.
  • B. Mabú
    Mabú is a barrio (district) of the municipality of Humacao in eastern Puerto Rico, known primarily as a local residential community.
  • C. Mogareeka
    Mogareeka is a small coastal locality in New South Wales, Australia, known for its beaches and estuarine scenery near Tathra.
  • D. Mawana
    Mawana is a town in the Indian state of Uttar Pradesh known as a local commercial and administrative center within the Meerut region.
  • E. Mooshum
    Mooshum is a central, storytelling elder whose memories and experiences connect generations and unravel the community’s dark history in Louise Erdrich’s novel *The Plague of Doves*.
  • 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc83828c81909c1ec745c0313c9f completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:56 p.m.