Triple

T20413179
Position Surface form Disambiguated ID Type / Status
Subject Mustamäe district E500640 entity
Predicate adjacentTo P224 FINISHED
Object Haabersti district 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: Haabersti district | Statement: [Mustamäe district, adjacentTo, Haabersti district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haabersti district
Context triple: [Mustamäe district, adjacentTo, Haabersti district]
  • A. Haabersti District chosen
    Haabersti District is a suburban administrative district of Tallinn, Estonia, known for its shopping centers, residential areas, and coastal location on the shores of the Baltic Sea.
  • B. Horgen District
    Horgen District is an administrative district in the canton of Zurich, Switzerland, located along the western shore of Lake Zurich and encompassing a mix of suburban and rural communities.
  • C. St. Jakob district
    St. Jakob district is a neighborhood in Basel, Switzerland, known for its historical significance and for hosting major sports and event facilities.
  • D. Kluuvi district
    Kluuvi district is a central neighborhood in Helsinki, Finland, known as a key commercial and administrative hub of the city.
  • E. Kulm District
    Kulm District is an administrative district in the Swiss canton of Aargau, known for its mix of rural communities and small towns in the central part of the canton.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a417f208190be9bc11650ee0a87 completed April 20, 2026, 7:10 p.m.
Created at: April 16, 2026, 11:30 a.m.