Triple

T3701507
Position Surface form Disambiguated ID Type / Status
Subject Harstad E78588 entity
Predicate hasNynorskForm P49477 FINISHED
Object Harstad E78588 NE FINISHED

How this triple was built (3 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: Harstad | Statement: [Harstad, hasNynorskForm, Harstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harstad
Context triple: [Harstad, hasNynorskForm, Harstad]
  • A. Harstad chosen
    Harstad is a coastal town and municipality in Troms county, known as an important regional center in Northern Norway with a strong maritime and cultural heritage.
  • B. Kristinestad
    Kristinestad is a small coastal town in western Finland known for its well-preserved wooden old town and historic maritime character.
  • C. Ørsta
    Ørsta is a municipality in Møre og Romsdal county, Norway, known for its dramatic fjord and mountain landscapes and as a center for outdoor activities like hiking and skiing.
  • D. Håvik
    Håvik is a small coastal village located in Karmøy municipality in Rogaland county, southwestern Norway.
  • E. Bjug Harstad
    Bjug Harstad was a Norwegian-American Lutheran minister and educator best known for establishing Pacific Lutheran University in Washington State.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNynorskForm
Context triple: [Harstad, hasNynorskForm, Harstad]
  • A. hasNameInNorwegian
    Indicates that an entity is associated with a specific name expressed in the Norwegian language.
  • B. hasCaseForms
    Indicates that an entity possesses multiple grammatical case variants or inflected forms associated with it.
  • C. hasMasculineForm
    Indicates that an entity has a corresponding masculine grammatical or lexical form.
  • D. hasPositiveForm
    Indicates that one form, variant, or expression is the positive (non-comparative, non-superlative, or affirmative) version of another.
  • E. hasWrittenForm
    Indicates that an entity is associated with a specific written or textual representation.
  • F. None of above. chosen

Provenance (5 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc547c1848190a1ece46c59b7c43d completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c6e3fbbc81908594bb7c9b02f873 completed March 14, 2026, 8:36 p.m.
PD Predicate disambiguation batch_69adb84eeca48190bb4de637e9f0e27a completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb903be308190a8f1925f99e67c68 completed March 8, 2026, 5:59 p.m.
Created at: March 8, 2026, 3:26 p.m.