Triple

T14099572
Position Surface form Disambiguated ID Type / Status
Subject Sistan E339343 entity
Predicate historicalName P65 FINISHED
Object Seistan E339343 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: Seistan | Statement: [Sistan, historicalName, Seistan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seistan
Context triple: [Sistan, historicalName, Seistan]
  • A. Sijistan
    Sijistan (also known as Sistan) is a historical region in eastern Iran and southwestern Afghanistan that was an important center of early Islamic scholarship and culture.
  • B. Orakzais
    The Orakzais are a Pashtun tribal group primarily inhabiting the Orakzai District and surrounding Tirah Valley region in northwestern Pakistan.
  • C. Khosta
    Khosta is a resort settlement on the Black Sea coast in Sochi, Russia, known for its beaches, sanatoriums, and proximity to subtropical forests and national parks.
  • D. Bastam
    Bastam is an ancient town in Iran renowned for its significant Islamic architectural and Sufi heritage, including monuments from the Seljuk and Ilkhanid periods.
  • E. Sistan chosen
    Sistan is a historical and geographical region in southeastern Iran and southwestern Afghanistan, known for its arid climate, ancient civilizations, and strategic location along historic trade routes.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fba7c10819095b1299b7b4f0310 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b108908190b4b408f21ecb877a completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.