Triple

T9460791
Position Surface form Disambiguated ID Type / Status
Subject Sarikoli E228138 entity
Predicate closelyRelatedTo P37 FINISHED
Object Rushani E549723 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: Rushani | Statement: [Sarikoli, closelyRelatedTo, Rushani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rushani
Context triple: [Sarikoli, closelyRelatedTo, Rushani]
  • A. Rushani chosen
    Rushani is an Eastern Iranian language spoken primarily in the Rushan region of Tajikistan and neighboring areas.
  • B. Barshaini
    Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
  • C. Rakcham
    Rakcham is a small Himalayan village in Himachal Pradesh, India, known for its scenic alpine landscapes, traditional Kinnauri culture, and proximity to trekking routes in the Baspa Valley.
  • D. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • E. Rushan
    Rushan is a county-level coastal city in eastern Shandong Province, China, known for its fishing industry, beaches, and marine-based economy.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fcaf610819092bcd3b871665aa5 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1229ec9448190bac9b7a38e030833 completed April 4, 2026, 2:39 p.m.
Created at: March 30, 2026, 7:52 p.m.