Triple

T9461568
Position Surface form Disambiguated ID Type / Status
Subject Waigali E228157 entity
Predicate hasAlternativeName P39 FINISHED
Object Kalasha-ala E722614 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: Kalasha-ala | Statement: [Waigali, hasAlternativeName, Kalasha-ala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalasha-ala
Context triple: [Waigali, hasAlternativeName, Kalasha-ala]
  • A. Kalasha chosen
    Kalasha is an endangered Indo-Aryan language spoken by the Kalash people in the remote valleys of northern Pakistan.
  • B. Parwanoo
    Parwanoo is an industrial town in the Solan district of Himachal Pradesh, India, known for its manufacturing units and proximity to the Haryana border.
  • C. Chitrali
    Chitrali is an alternative name for Khowar, an Indo-Aryan language spoken primarily in Pakistan’s Chitral region.
  • D. Dhala
    Dhala is a town and district in southwestern Yemen, historically part of the British-era protectorate structures that later formed the Federation of South Arabia.
  • E. Shahdara
    Shahdara is a densely populated residential and commercial locality in East Delhi, India, known as one of the city’s oldest suburbs and a key transport hub.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fcc8b1881908aa6ee13ab195330 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1229ec9448190bac9b7a38e030833 completed April 4, 2026, 2:39 p.m.
Created at: March 30, 2026, 7:52 p.m.