Triple

T21632124
Position Surface form Disambiguated ID Type / Status
Subject federal highway M10 (Russia) E533856 entity
Predicate passesNear P416 FINISHED
Object Chudovo 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: Chudovo | Statement: [federal highway M10 (Russia), passesNear, Chudovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chudovo
Context triple: [federal highway M10 (Russia), passesNear, Chudovo]
  • A. Chudovo chosen
    Chudovo is a small town in northwestern Russia known for its historical ties to the Novgorod region and its location along important transportation routes between Moscow and St. Petersburg.
  • B. Chudniv
    Chudniv is a small urban-type settlement in northern Ukraine known for its historical role in regional trade and its location within Zhytomyr Oblast.
  • C. Duchcov
    Duchcov is a historic town in the Ústí nad Labem Region of the Czech Republic, known for its chateau where the adventurer Giacomo Casanova spent his final years.
  • D. Zadní Chodov
    Zadní Chodov is a small municipality and village in the Plzeň Region of the Czech Republic.
  • E. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5217952c8190910c2103fb4a27d9 completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.