Triple

T3701833
Position Surface form Disambiguated ID Type / Status
Subject Troms E80793 entity
Predicate hasOfficialNameInNorwegianNynorsk P49480 FINISHED
Object Troms E80793 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: Troms | Statement: [Troms, hasOfficialNameInNorwegianNynorsk, Troms]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Troms
Context triple: [Troms, hasOfficialNameInNorwegianNynorsk, Troms]
  • A. Troms chosen
    Troms was a former county in northern Norway known for its Arctic landscapes, coastal fjords, and the city of Tromsø.
  • B. Trondenes
    Trondenes is a historic former municipality and parish in northern Norway, known for its medieval stone church and role as an administrative center in the Harstad region.
  • C. Nordlandet
    Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
  • D. Helgeland
    Helgeland is a coastal region in northern Norway known for its dramatic fjords, islands, and mountain landscapes.
  • E. Volda
    Volda is a municipality in Møre og Romsdal county, Norway, known for its fjord landscape, cultural life, and Volda University College.
  • 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: hasOfficialNameInNorwegianNynorsk
Context triple: [Troms, hasOfficialNameInNorwegianNynorsk, Troms]
  • A. officialNameInNorwegian
    Indicates the officially recognized name of an entity when expressed in the Norwegian language.
  • B. hasNameInNorwegian
    Indicates that an entity is associated with a specific name expressed in the Norwegian language.
  • C. hasOfficialNameInNepali
    Indicates that an entity has an official name expressed in the Nepali language.
  • D. hasOfficialNameInEnglish
    Indicates that an entity has an officially recognized name expressed in the English language.
  • E. officialNameInDanish
    Indicates the officially recognized name of an entity when expressed in the Danish language.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc547c1848190a1ece46c59b7c43d completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5120d23f481908f71e291c089505c completed March 14, 2026, 7:45 a.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, 3:33 p.m.