Triple

T14377328
Position Surface form Disambiguated ID Type / Status
Subject Härjedalen E356507 entity
Predicate hasRiver P165 FINISHED
Object Veman
Veman is a river flowing through the mountainous region of Härjedalen in central Sweden.
E1095953 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: Veman | Statement: [Härjedalen, hasRiver, Veman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veman
Context triple: [Härjedalen, hasRiver, Veman]
  • A. Váli
    Váli is a Norse god, one of Odin's sons, known primarily for avenging the death of his half-brother Baldr.
  • B. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • C. Veklury
    Veklury is the brand name for remdesivir, an antiviral medication used primarily to treat COVID-19.
  • D. Vitte
    Vitte is the largest village and main tourist and administrative center on the Baltic Sea island of Hiddensee in Germany.
  • E. Vahalis
    Vahalis is an ancient or historical name for the River Waal, a major distributary branch of the Rhine in the Netherlands.
  • 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: Veman
Triple: [Härjedalen, hasRiver, Veman]
Generated description
Veman is a river flowing through the mountainous region of Härjedalen in central Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Veman
Target entity description: Veman is a river flowing through the mountainous region of Härjedalen in central Sweden.
  • A. Váli
    Váli is a Norse god, one of Odin's sons, known primarily for avenging the death of his half-brother Baldr.
  • B. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • C. Veklury
    Veklury is the brand name for remdesivir, an antiviral medication used primarily to treat COVID-19.
  • D. Vitte
    Vitte is the largest village and main tourist and administrative center on the Baltic Sea island of Hiddensee in Germany.
  • E. Vahalis
    Vahalis is an ancient or historical name for the River Waal, a major distributary branch of the Rhine in the Netherlands.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900949fc81909be0da1734c46645 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5728fc819089ef3c7c34b10101 completed May 8, 2026, 2:37 a.m.
NEDg Description generation batch_69fd4e4bae188190a8d1c5b833d58cd8 completed May 8, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69fd4f5782b4819081d32dbef032ac61 completed May 8, 2026, 2:49 a.m.
Created at: April 10, 2026, 1:16 a.m.