Triple

T13328353
Position Surface form Disambiguated ID Type / Status
Subject Åråsen Stadion E317500 entity
Predicate locatedNear P294 FINISHED
Object Nitelva river
Nitelva river is a river in southeastern Norway that flows through the Romerike region and past the town of Lillestrøm before joining the Glomma.
E1103780 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: Nitelva river | Statement: [Åråsen Stadion, locatedNear, Nitelva river]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nitelva river
Context triple: [Åråsen Stadion, locatedNear, Nitelva river]
  • A. Sivni River
    The Sivni River is a local watercourse in the Sehore region of Madhya Pradesh, India, contributing to the area's agriculture and ecology.
  • B. Velino River
    The Velino River is a watercourse in central Italy that flows through the city of Rieti before joining the Nera River near Terni.
  • C. Varbitsa River
    The Varbitsa River is a tributary watercourse in southern Bulgaria that feeds into the Arda River within the Maritsa river basin.
  • D. Spila River
    The Spila River is a watercourse in Montenegro that flows into the scenic Bay of Kotor on the Adriatic coast.
  • E. Sutla River
    The Sutla River is a border river in Central Europe that flows between Slovenia and Croatia, passing by villages such as Kumrovec before joining the Sava River.
  • 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: Nitelva river
Triple: [Åråsen Stadion, locatedNear, Nitelva river]
Generated description
Nitelva river is a river in southeastern Norway that flows through the Romerike region and past the town of Lillestrøm before joining the Glomma.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nitelva river
Target entity description: Nitelva river is a river in southeastern Norway that flows through the Romerike region and past the town of Lillestrøm before joining the Glomma.
  • A. Sivni River
    The Sivni River is a local watercourse in the Sehore region of Madhya Pradesh, India, contributing to the area's agriculture and ecology.
  • B. Velino River
    The Velino River is a watercourse in central Italy that flows through the city of Rieti before joining the Nera River near Terni.
  • C. Varbitsa River
    The Varbitsa River is a tributary watercourse in southern Bulgaria that feeds into the Arda River within the Maritsa river basin.
  • D. Spila River
    The Spila River is a watercourse in Montenegro that flows into the scenic Bay of Kotor on the Adriatic coast.
  • E. Sutla River
    The Sutla River is a border river in Central Europe that flows between Slovenia and Croatia, passing by villages such as Kumrovec before joining the Sava River.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992e4f908190a6f172bf910cffb8 completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a2ae47881909e0e6c23473a9e1c completed May 8, 2026, 5:52 a.m.
NEDg Description generation batch_69fd7b9ffa8c81909b53143b119711d9 completed May 8, 2026, 5:58 a.m.
NED2 Entity disambiguation (via description) batch_69fd7bd58a6881908479b7608b7f1f3a completed May 8, 2026, 5:59 a.m.
Created at: April 9, 2026, 9:30 p.m.