Triple

T3494290
Position Surface form Disambiguated ID Type / Status
Subject Ai-Petri E73811 entity
Predicate nearbySettlement P350 FINISHED
Object Alupka E72340 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: Alupka | Statement: [Ai-Petri, nearbySettlement, Alupka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alupka
Context triple: [Ai-Petri, nearbySettlement, Alupka]
  • A. Alupka chosen
    Alupka is a resort town on the southern coast of Crimea, known for the Neo-Gothic and Moorish-style Vorontsov Palace and its scenic location at the foot of Mount Ai-Petri.
  • B. Quatchi
    Quatchi is a sasquatch character who served as one of the official mascots of the 2010 Winter Olympics in Vancouver.
  • C. Nushki
    Nushki is a town in Pakistan’s Balochistan province, known as a key junction on routes linking the region to Afghanistan and Iran.
  • D. Naknek
    Naknek is a small fishing community in southwestern Alaska known for its salmon canning industry and location near Bristol Bay.
  • E. Pischa
    Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbaebed881909d9cbc9c4c1f138f completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373c5e1248190a4c42805fb9363f0 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.