Triple

T2822379
Position Surface form Disambiguated ID Type / Status
Subject Kaghan Valley E54839 entity
Predicate hasTown P847 FINISHED
Object Kaghan E280700 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: Kaghan | Statement: [Kaghan Valley, hasTown, Kaghan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaghan
Context triple: [Kaghan Valley, hasTown, Kaghan]
  • A. Kaghan chosen
    Kaghan is a scenic valley in Pakistan’s Khyber Pakhtunkhwa province, renowned for its lush landscapes, rivers, and popular tourist resorts.
  • B. Dalbandin
    Dalbandin is a small town in Pakistan’s Balochistan province, known as an important stop along the Quetta–Taftan highway and for its proximity to the Chagai nuclear testing sites.
  • C. Himraja
    Himraja is a notable Marathi literary work by the acclaimed poet and writer Vishnu Vaman Shirwadkar, better known as Kusumagraj.
  • D. Chaghcharan
    Chaghcharan is a city in western Afghanistan that serves as the capital of Ghor Province and an important regional administrative and commercial center.
  • E. Barkat
    Barkat was one of the prominent martyrs of the Bengali Language Movement in East Bengal, remembered for sacrificing his life in the struggle to preserve the Bengali language and cultural identity.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde704af88190a132626acc99745f completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69afceaa45e88190a9007885cf7868ef completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.