Triple

T21032731
Position Surface form Disambiguated ID Type / Status
Subject Shimla district E518103 entity
Predicate contains P35 FINISHED
Object Naldehra 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: Naldehra | Statement: [Shimla district, contains, Naldehra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naldehra
Context triple: [Shimla district, contains, Naldehra]
  • A. Naldehra chosen
    Naldehra is a serene hill station in the Indian state of Himachal Pradesh, known for its lush cedar forests, scenic mountain views, and historic golf course.
  • B. Loelva
    Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
  • C. Bodelva
    Bodelva is a small settlement in Cornwall, England, best known as the site of the Eden Project’s iconic biomes and visitor attraction.
  • D. Vallirana
    Vallirana is a municipality in the Baix Llobregat comarca of Catalonia, Spain, located near Barcelona and known for its surrounding natural landscapes and caves.
  • E. Novilara
    Novilara is an archaeological site and locality in the Marche region of Italy, known for its ancient Picene culture remains and notable funerary stelae.
  • 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.