Triple

T18550500
Position Surface form Disambiguated ID Type / Status
Subject Oberland E453360 entity
Predicate isMorePopulousThan P43438 FINISHED
Object Unterland 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: Unterland | Statement: [Oberland, isMorePopulousThan, Unterland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unterland
Context triple: [Oberland, isMorePopulousThan, Unterland]
  • A. Unterland chosen
    Unterland is one of the two electoral districts of Liechtenstein, encompassing the country's northern municipalities along the Rhine.
  • B. Usinger Land
    Usinger Land is a rural region in the Hochtaunus district of Hesse, Germany, characterized by small towns, forests, and agricultural landscapes in the Taunus area.
  • C. Molauer Land
    Molauer Land is a small municipality in the Burgenlandkreis district of Saxony-Anhalt, Germany, situated within the broader Leipzig metropolitan region.
  • D. Entrup
    Entrup is a district of the German town of Lemgo in the state of North Rhine-Westphalia.
  • E. Löwenberger Land
    Löwenberger Land is a rural municipality in the Oberhavel district of Brandenburg, Germany, known for its agricultural landscape and small villages north of Berlin.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53800c0fc819097782f1e81574598 completed April 19, 2026, 8:16 p.m.
Created at: April 10, 2026, 11:38 a.m.