Triple

T12917289
Position Surface form Disambiguated ID Type / Status
Subject Bad Tölz-Wolfratshausen E309018 entity
Predicate hasPart P35 FINISHED
Object Lenggries E172555 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: Lenggries | Statement: [Bad Tölz-Wolfratshausen, hasPart, Lenggries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenggries
Context triple: [Bad Tölz-Wolfratshausen, hasPart, Lenggries]
  • A. Lenggries chosen
    Lenggries is a Bavarian municipality in southern Germany, known as a gateway to the Alps and a popular destination for outdoor and mountain activities.
  • B. Malching
    Malching is a small municipality in southeastern Bavaria, Germany, situated near the Austrian border in the district of Passau.
  • C. Deitingen
    Deitingen is a municipality in the canton of Solothurn in northwestern Switzerland.
  • D. Soltau
    Soltau is a town in Lower Saxony, Germany, known for its location in the Lüneburg Heath and attractions such as the Heide Park amusement park.
  • E. Harlesiel
    Harlesiel is a small coastal port settlement on the German North Sea coast that serves as a key ferry and access point to the East Frisian island of Wangerooge.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971a1e8088190af697629baecf59f completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a571a3e48190a32d362adc6eaee2 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:41 p.m.