Triple

T3217146
Position Surface form Disambiguated ID Type / Status
Subject Khorasan E67423 entity
Predicate majorCity P316 FINISHED
Object Herat E66483 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: Herat | Statement: [Khorasan, majorCity, Herat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herat
Context triple: [Khorasan, majorCity, Herat]
  • A. Herat chosen
    Herat is a historic city in western Afghanistan that flourished as a major cultural and political center of the Timurid Empire and a key hub on the Silk Road.
  • B. Balkh
    Balkh is an ancient city in northern Afghanistan, historically a major center of Persian culture, trade, and Islamic scholarship.
  • C. Mazar-i-Sharif
    Mazar-i-Sharif is a major city in northern Afghanistan known for its strategic importance, ethnic diversity, and the revered Blue Mosque, making it a focal point in the country’s political and military conflicts.
  • D. Birjand
    Birjand is a city in eastern Iran that serves as the capital of South Khorasan Province and is known for its historical forts and saffron production.
  • E. Khujand
    Khujand is one of the oldest cities in Central Asia, a major urban center in northern Tajikistan known historically as a Silk Road hub on the Syr Darya River.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab0ae494819093d39c367facde27 completed March 8, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3bb50b48190a1d2ea0dd71c039f completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:08 p.m.