Triple

T15547155
Position Surface form Disambiguated ID Type / Status
Subject Torzhok E370640 entity
Predicate historicalRegion P915 FINISHED
Object Valdai Upland area E53853 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: Valdai Upland area | Statement: [Torzhok, historicalRegion, Valdai Upland area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valdai Upland area
Context triple: [Torzhok, historicalRegion, Valdai Upland area]
  • A. Pskov Upland
    Pskov Upland is a hilly elevated region in western Russia known for its distinctive landscape and historical sites, including the Pskov-Caves Monastery.
  • B. Valdai Hills chosen
    Valdai Hills is a hilly upland region in western Russia known as a major watershed area where several important rivers, including the Volga, originate.
  • C. Belarusian Upland
    The Belarusian Upland is a hilly elevated region in central and western Belarus, characterized by its rolling terrain and serving as one of the country’s main highland areas.
  • D. Smolensk–Moscow Upland
    The Smolensk–Moscow Upland is a highland region in western Russia forming part of the East European Plain, known for its rolling terrain and as a watershed area feeding major rivers including the Moskva.
  • E. Valdai
    Valdai is a line of medium-duty trucks produced by the Russian automotive manufacturer GAZ Group.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9073948190b6e9cf504aacc7cf completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff455c172c8190833274cb98667e84 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:08 a.m.