Triple

T8474068
Position Surface form Disambiguated ID Type / Status
Subject Syrmia E200346 entity
Predicate containsCity P294 FINISHED
Object Ilok E568483 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: Ilok | Statement: [Syrmia, containsCity, Ilok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilok
Context triple: [Syrmia, containsCity, Ilok]
  • A. Ilok chosen
    Ilok is a historic town in eastern Croatia on the Danube River, known for its medieval fortress, wine production, and position as the country’s easternmost settlement.
  • B. Lučina
    Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
  • C. Izola
    Izola is a coastal town and popular tourist destination on the Adriatic Sea in southwestern Slovenia, known for its fishing heritage and picturesque old town.
  • D. Dijla
    Dijla is the Kurdish name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • E. Ilava
    Ilava is a small town in northwestern Slovakia known for its historic fortress and role as a regional administrative center.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f7328481909ad19bcf8d182022 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a057b6c8190ad592110ca393ee2 completed April 2, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:11 p.m.