Triple

T17339150
Position Surface form Disambiguated ID Type / Status
Subject Telemark county (re-established) E421018 entity
Predicate contains P35 FINISHED
Object Nome
Nome is a municipality in southeastern Norway known for its lakes, forests, and the Telemark Canal running through its historic industrial communities.
 E1262592 NE FINISHED

How this triple was built (4 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: Nome | Statement: [Telemark county (re-established), contains, Nome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nome
Context triple: [Telemark county (re-established), contains, Nome]
  • A. Nome
    Nome is a remote coastal city in western Alaska known historically for its gold rush heritage and as a key transportation and supply hub on the Bering Sea.
  • B. Nom
    Nom is a domain name marketplace and service platform operating under the brand Nom.com.
  • C. Nama
    Nama is a Khoe language spoken primarily by the Nama people in Namibia and neighboring regions of southern Africa.
  • D. Naam
    Naam is a 1986 Hindi drama film, widely remembered for its emotional storyline and performances, particularly by actor Paresh Rawal.
  • E. Nume
    Nume is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nome
Triple: [Telemark county (re-established), contains, Nome]
Generated description
Nome is a municipality in southeastern Norway known for its lakes, forests, and the Telemark Canal running through its historic industrial communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nome
Target entity description: Nome is a municipality in southeastern Norway known for its lakes, forests, and the Telemark Canal running through its historic industrial communities.
  • A. Nome
    Nome is a remote coastal city in western Alaska known historically for its gold rush heritage and as a key transportation and supply hub on the Bering Sea.
  • B. Nom
    Nom is a domain name marketplace and service platform operating under the brand Nom.com.
  • C. Nama
    Nama is a Khoe language spoken primarily by the Nama people in Namibia and neighboring regions of southern Africa.
  • D. Naam
    Naam is a 1986 Hindi drama film, widely remembered for its emotional storyline and performances, particularly by actor Paresh Rawal.
  • E. Nume
    Nume is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a14ec90819098db2ac0d58a53e1 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c56c8148190ab6e3e2eff09725e completed May 11, 2026, 7:59 a.m.
NEDg Description generation batch_6a018cdabc248190aae1efc1f87d6efd completed May 11, 2026, 8:01 a.m.
NED2 Entity disambiguation (via description) batch_6a018da922fc8190b309726dab12450c completed May 11, 2026, 8:04 a.m.
Created at: April 10, 2026, 5:44 a.m.