Triple

T6908809
Position Surface form Disambiguated ID Type / Status
Subject Wittmund district E159879 entity
Predicate borders P224 FINISHED
Object Leer district E627977 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: Leer district | Statement: [Wittmund district, borders, Leer district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leer district
Context triple: [Wittmund district, borders, Leer district]
  • A. Leer district chosen
    Leer district is a rural administrative district in the northwest of Lower Saxony, Germany, known for its location near the Dutch border and along the Ems River.
  • B. Dausa district
    Dausa district is an administrative district in the Indian state of Rajasthan, known for its historical sites, rural landscapes, and proximity to Jaipur.
  • C. Saha District
    Saha District is an administrative district (gu) in the southwestern part of Busan, South Korea, known for its coastal areas and residential neighborhoods.
  • D. Gonda district
    Gonda district is an administrative district in the Indian state of Uttar Pradesh, known for its agricultural economy and historical and cultural significance in the Awadh region.
  • E. Reasi district
    Reasi district is an administrative region in the Indian union territory of Jammu and Kashmir, known for its hilly terrain, pilgrimage sites, and proximity to major infrastructure projects like the Chenab Rail Bridge.
  • 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9be98748190b5cb698e66e3aa42 completed March 27, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75124cab88190a1510d77ed61c945 completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:25 p.m.