Triple

T8713374
Position Surface form Disambiguated ID Type / Status
Subject Passau (district) E206834 entity
Predicate traversedByRiver P165 FINISHED
Object Ilz E624514 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: Ilz | Statement: [Passau (district), traversedByRiver, Ilz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilz
Context triple: [Passau (district), traversedByRiver, Ilz]
  • A. Ilz chosen
    The Ilz is a river in southeastern Germany that flows through the Bavarian Forest before joining the Danube near Passau.
  • B. Iljumun
    Iljumun is the traditional Korean "One-Pillar Gate" that marks the symbolic entrance to many Buddhist temple complexes, representing the first step toward enlightenment.
  • C. Olizon
    Olizon was an ancient coastal town in the region of Magnesia in Thessaly, Greece, known from classical sources such as Homer’s Iliad.
  • D. Ilus
    Ilus is a figure in Greek mythology known as a descendant of Dardanus and an early ancestor in the royal line of Troy.
  • E. Ilala
    Ilala is a central administrative district of Dar es Salaam in Tanzania, encompassing key commercial, residential, and transport hubs of the city.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd522a88190a32facd86206af66 completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28cd239c81909d1feb98b652eb26 completed April 3, 2026, 2:41 a.m.
Created at: March 30, 2026, 6:35 p.m.