Triple

T5849034
Position Surface form Disambiguated ID Type / Status
Subject North Frisian E129982 entity
Predicate hasDialect P4251 FINISHED
Object Fering
Fering is a North Frisian dialect spoken primarily on the island of Föhr in Germany.
 E552043 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: Fering | Statement: [North Frisian, hasDialect, Fering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fering
Context triple: [North Frisian, hasDialect, Fering]
  • A. Fakui
    Fakui is the given name of Zhang Fakui, a notable Chinese military figure.
  • B. Arandis
    Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
  • C. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • D. Mora
    Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
  • E. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • 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: Fering
Triple: [North Frisian, hasDialect, Fering]
Generated description
Fering is a North Frisian dialect spoken primarily on the island of Föhr in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fering
Target entity description: Fering is a North Frisian dialect spoken primarily on the island of Föhr in Germany.
  • A. Fakui
    Fakui is the given name of Zhang Fakui, a notable Chinese military figure.
  • B. Arandis
    Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
  • C. Mora
    Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
  • D. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • E. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035145a0c8190941945a83a3f2416 completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1b052288190ace51e65f1d888ab completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a5ab04e481909dca08da3e851088 completed March 23, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_69c0a63aca6c8190bd33b063c8285e34 completed March 23, 2026, 2:32 a.m.
Created at: March 22, 2026, 3:55 p.m.