Triple

T16821571
Position Surface form Disambiguated ID Type / Status
Subject Fischerinsel neighborhood E408905 entity
Predicate locatedIn P40 FINISHED
Object Mitte district E353420 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: Mitte district | Statement: [Fischerinsel neighborhood, locatedIn, Mitte district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitte district
Context triple: [Fischerinsel neighborhood, locatedIn, Mitte district]
  • A. Mitte district chosen
    Mitte district is a central borough of Berlin known for its historic landmarks, government buildings, and cultural institutions.
  • B. Buyende District
    Buyende District is an administrative district in eastern Uganda, known for its rural communities and location along the shores of Lake Kyoga.
  • C. Parchim district
    Parchim district was a former administrative district in the state of Mecklenburg-Vorpommern in northern Germany, characterized by its rural landscape, small towns, and numerous rivers and lakes.
  • D. Meilen District
    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.
  • E. Weidu District
    Weidu District is an urban district that serves as the central administrative area of Xuchang city in Henan Province, China.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e6b59c8190ad562a80e71ce54c completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b29a3854819099eed580eea5d84d completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.