Triple

T21856187
Position Surface form Disambiguated ID Type / Status
Subject Hammarby Canal E539632 entity
Predicate connects P390 FINISHED
Object Hammarby Lake 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: Hammarby Lake | Statement: [Hammarby Canal, connects, Hammarby Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hammarby Lake
Context triple: [Hammarby Canal, connects, Hammarby Lake]
  • A. Hammarby Lake chosen
    Hammarby Lake is a body of water in Stockholm, Sweden, around which the modern eco-friendly district of Hammarby Sjöstad has been developed.
  • B. Tyresö-Flaten Lake
    Tyresö-Flaten Lake is a natural lake in Tyresö Municipality, Sweden, known for its scenic surroundings and recreational opportunities such as swimming and outdoor activities.
  • C. Brunnsviken Lake
    Brunnsviken Lake is a scenic urban lake in northern Stockholm, Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
  • D. Teleborg Lake
    Teleborg Lake is a scenic body of water in Växjö, Sweden, known for its tranquil natural surroundings and proximity to the historic Teleborg Castle.
  • E. Lake Starnberg
    Lake Starnberg is a large glacial lake in Bavaria, Germany, known for its scenic beauty, affluent lakeside communities, and popularity as a recreational destination near Munich.
  • 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_69e0c47829648190bbe2d1d7033768ec completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0d635b59c81908810480f3802b847 completed April 28, 2026, 3:45 p.m.
Created at: April 16, 2026, 6:56 p.m.