Triple

T19573855
Position Surface form Disambiguated ID Type / Status
Subject Qarshi E489795 entity
Predicate historicalName P65 FINISHED
Object Nakhshab 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: Nakhshab | Statement: [Qarshi, historicalName, Nakhshab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nakhshab
Context triple: [Qarshi, historicalName, Nakhshab]
  • A. Neyshabur chosen
    Neyshabur is a historic city in northeastern Iran renowned for its cultural heritage, turquoise mines, and as the resting place of poet and polymath Omar Khayyam.
  • B. Meherabad
    Meherabad is a spiritual retreat and pilgrimage center in Maharashtra, India, best known as the ashram and tomb-shrine of Indian spiritual master Meher Baba.
  • C. Shahrud
    Shahrud is a major city in northeastern Iran known as an important regional hub for transportation, agriculture, and access to nearby natural attractions such as the Alborz Mountains and desert landscapes.
  • D. Nasirshahr
    Nasirshahr is a city in Robat Karim County within Tehran Province, Iran, functioning as a local urban center for the surrounding region.
  • E. Shahreza
    Shahreza is a city in central Iran, known for its historical significance and location along major transit routes in Isfahan Province.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402333dc8190bdffb1da68e2c76b completed April 20, 2026, 3:02 p.m.
Created at: April 10, 2026, 1:42 p.m.