Triple

T14903008
Position Surface form Disambiguated ID Type / Status
Subject Vogelgrun lock E360054 entity
Predicate locatedNear P294 FINISHED
Object Vogelgrun E360051 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: Vogelgrun | Statement: [Vogelgrun lock, locatedNear, Vogelgrun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vogelgrun
Context triple: [Vogelgrun lock, locatedNear, Vogelgrun]
  • A. Vogelgrun chosen
    Vogelgrun is a commune in northeastern France’s Haut-Rhin department, situated on the Rhine near the German border and known for its proximity to major river and canal infrastructure.
  • B. Vogelthal
    Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
  • C. Vidzeme Upland
    Vidzeme Upland is a hilly highland region in northeastern Latvia known for containing the country’s highest elevations and scenic landscapes.
  • D. Kleeburg
    Kleeburg is a historical territory in the Holy Roman Empire that gave its name to the cadet branch of the Wittelsbach dynasty known as the Counts Palatine of Zweibrücken-Kleeburg.
  • E. Odenberg
    Odenberg is a Swedish surname most notably associated with politician Mikael Odenberg.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded60b24008190bd272c0d61329400 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b4e4f88190af7e859d93dbbd28 completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:11 a.m.