Triple

T15423307
Position Surface form Disambiguated ID Type / Status
Subject E87 highway E369439 entity
Predicate passesThrough P225 FINISHED
Object Izmail E874060 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: Izmail | Statement: [E87 highway, passesThrough, Izmail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Izmail
Context triple: [E87 highway, passesThrough, Izmail]
  • A. Izmail chosen
    Izmail is a port city in southwestern Ukraine situated on the Danube River near the border with Romania.
  • B. Konstantinovka
    Konstantinovka is an archaeological site in Ukraine notable for remains associated with the Eneolithic Sredny Stog culture, an early horse-using steppe society.
  • C. Zhukovka
    Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
  • D. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • E. Rublyovka
    Rublyovka is an affluent suburban area west of Moscow, known for its luxury residences, elite communities, and concentration of Russia’s political and business elite.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec032548190840b558dde6057c7 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a7d02a08190a1e34e3a014acea9 completed May 9, 2026, 11:29 a.m.
Created at: April 10, 2026, 3:20 a.m.