Triple

T14157243
Position Surface form Disambiguated ID Type / Status
Subject Meilen E350843 entity
Predicate administrativeCenterOf P383 FINISHED
Object Meilen District E769956 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: Meilen District | Statement: [Meilen, administrativeCenterOf, Meilen District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meilen District
Context triple: [Meilen, administrativeCenterOf, Meilen District]
  • A. Meilen District chosen
    Meilen District is an administrative district in the canton of Zürich, Switzerland, located along the northeastern shore of Lake Zurich and encompassing several affluent suburban municipalities.
  • B. Bondo District
    Bondo District was a former administrative district in western Kenya, located near Lake Victoria in the Nyanza region.
  • C. Homoine District
    Homoine District is an administrative district located in Inhambane Province in southern Mozambique.
  • D. Gäu District
    Gäu District is an administrative district in the canton of Solothurn in northwestern Switzerland, known for its mix of industrial areas and agricultural landscapes along the Aare River.
  • E. Boe District
    Boe District is one of the administrative districts of Nauru, located inland on the island’s southwestern side.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61377de48190a3470d28f0edd34a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193b72f48190b80ac30d32ab8349 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 12:58 a.m.