Triple

T2822380
Position Surface form Disambiguated ID Type / Status
Subject Kaghan Valley E54839 entity
Predicate hasTown P847 FINISHED
Object Naran E56154 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: Naran | Statement: [Kaghan Valley, hasTown, Naran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naran
Context triple: [Kaghan Valley, hasTown, Naran]
  • A. Naran chosen
    Naran is a popular mountain resort town and tourist destination in northern Pakistan, known for its scenic valleys, rivers, and access to sites like Lake Saif-ul-Malook.
  • B. Naranjal
    Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
  • C. Banna
    Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
  • D. Haría
    Haría is a picturesque municipality and village in the northern part of Lanzarote in Spain’s Canary Islands, known for its lush “Valley of a Thousand Palms” and traditional architecture.
  • E. Naiche
    Naiche was the last hereditary chief of the Chiricahua Apache and a prominent leader during the final phase of the Apache resistance against the United States.
  • 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.