Triple

T14026238
Position Surface form Disambiguated ID Type / Status
Subject Dhanaulti E337463 entity
Predicate near P350 FINISHED
Object Kanatal E337464 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: Kanatal | Statement: [Dhanaulti, near, Kanatal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanatal
Context triple: [Dhanaulti, near, Kanatal]
  • A. Kanatal chosen
    Kanatal is a serene hill station in Uttarakhand, India, known for its tranquil Himalayan views, apple orchards, and outdoor adventure activities.
  • B. Kandan
    Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
  • C. Kanalaki
    Kanalaki is a small town in northwestern Greece, situated in the Epirus region and serving as a local center for the surrounding rural area.
  • D. Kanowit
    Kanowit is a small riverside town and district in Sarawak, Malaysia, known for its location at the confluence of the Rajang and Kanowit rivers and its ethnically diverse Iban, Chinese, and Malay communities.
  • E. Kandau
    Kandau is a town in present-day Latvia historically known as the birthplace of the German experimental psychologist Oswald Külpe.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa6ca7481908976ce748a1957b1 completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc333b7a08190b4f121fef69f7513 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:20 p.m.