Triple

T18893508
Position Surface form Disambiguated ID Type / Status
Subject Považie E462151 entity
Predicate hasMajorCity P316 FINISHED
Object Ilava 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: Ilava | Statement: [Považie, hasMajorCity, Ilava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilava
Context triple: [Považie, hasMajorCity, Ilava]
  • A. Ilava chosen
    Ilava is a small town in northwestern Slovakia known for its historic fortress and role as a regional administrative center.
  • B. Loelva
    Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
  • C. Izera
    Izera is the Polish name for the Jizera River, a Central European river flowing through the Czech Republic and Poland and forming part of their mutual border.
  • D. Vydra
    Vydra is a river in the Šumava region of the Czech Republic, known for its rocky riverbed, scenic gorges, and role as one of the headwaters of the Otava River.
  • E. Mumlava
    Mumlava is a river in the Krkonoše (Giant) Mountains of the Czech Republic, known for its scenic waterfalls and gorges near the town of Harrachov.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c47d392c81909297211c7d7610a1 completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:58 a.m.