Triple

T22237934
Position Surface form Disambiguated ID Type / Status
Subject Hasle harbor E549639 entity
Predicate partOf P40 FINISHED
Object town of Hasle 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: town of Hasle | Statement: [Hasle harbor, partOf, town of Hasle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Hasle
Context triple: [Hasle harbor, partOf, town of Hasle]
  • A. Hasle harbor
    Hasle harbor is a small coastal port and marina in the town of Hasle on the Danish island of Bornholm, serving fishing, leisure boating, and local tourism.
  • B. Hasle chosen
    Hasle is a small coastal town on the Danish island of Bornholm, known for its historic harbor, smoked herring, and scenic Baltic Sea surroundings.
  • C. Hassel
    Hassel is a Norwegian surname most notably borne by Nobel Prize–winning chemist Odd Hassel.
  • D. Hyllestad village
    Hyllestad village is a small Norwegian settlement that serves as the main local hub for governance and services within Hyllestad Municipality in Vestland county.
  • E. Henriksdal
    Henriksdal is a residential and waterfront district in the Sicklaön area of Nacka Municipality, just east of central Stockholm, Sweden.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f13210eb9c8190bc40d06c393e0d9a completed April 28, 2026, 10:17 p.m.
Created at: April 16, 2026, 8:38 p.m.