Triple

T3661577
Position Surface form Disambiguated ID Type / Status
Subject Stetind E77660 entity
Predicate languageLabel P50222 FINISHED
Object Stetind E77660 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: Stetind | Statement: [Stetind, languageLabel, Stetind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stetind
Context triple: [Stetind, languageLabel, Stetind]
  • A. Stetind chosen
    Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
  • B. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • C. Fløya
    Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
  • D. Bergshamra
    Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
  • E. Hynnekleiv
    Hynnekleiv is a small village in the municipality of Froland in Agder county, southern Norway.
  • 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: languageLabel
Context triple: [Stetind, languageLabel, Stetind]
  • A. languageName
    Indicates the specific name assigned to a language in the relationship.
  • B. languageUse
    Indicates the language or languages an entity uses for communication, expression, or interaction.
  • C. languageForm
    Indicates the specific linguistic form or expression in which something is conveyed or represented.
  • D. languageOfWorkOrName
    Indicates the language in which a work is created or a name is expressed.
  • E. languageOfExpression
    Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d826d88190b0b50e8592088a36 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48844a380819084c4627a95b4cb3c completed March 13, 2026, 9:57 p.m.
PD Predicate disambiguation batch_69adb847e9d881909dad2ffd0f3b6c15 completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb97cdb788190a5ce96b21bd157ab completed March 8, 2026, 6:01 p.m.
Created at: March 8, 2026, 3:25 p.m.