Triple

T21509761
Position Surface form Disambiguated ID Type / Status
Subject Safavid Persian forces E530684 entity
Predicate garrisonedIn P2911 FINISHED
Object Shirvan 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: Shirvan | Statement: [Safavid Persian forces, garrisonedIn, Shirvan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shirvan
Context triple: [Safavid Persian forces, garrisonedIn, Shirvan]
  • A. Shirvan chosen
    Shirvan was a historical region and former kingdom in the eastern Caucasus, largely corresponding to parts of modern-day Azerbaijan, known for its strategic location and long-standing political and cultural significance.
  • B. Shirvan
    Shirvan is a city in northeastern Iran, located in North Khorasan Province and known as a regional agricultural and commercial center.
  • C. Shamakhi
    Shamakhi is a historic city in Azerbaijan known for its long-standing Jewish community and cultural significance in the region.
  • D. Shirvan District
    Shirvan District is an administrative region that includes the city of Ali Bayramli (now known as Shirvan) in Azerbaijan.
  • E. Shirvan city
    Shirvan city is an urban center in Azerbaijan located in the central lowland region along the Kura River, known for its role in regional industry and transportation.
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea84dfbc8190a23d9a7d6eb2c2b5 completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:25 p.m.