Triple

T21890915
Position Surface form Disambiguated ID Type / Status
Subject Lyngdal E540541 entity
Predicate hasRiver P165 FINISHED
Object Lygna
Lygna is a river in southern Norway that flows through the municipality of Lyngdal before reaching the North Sea.
 E1507008 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: Lygna | Statement: [Lyngdal, hasRiver, Lygna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lygna
Context triple: [Lyngdal, hasRiver, Lygna]
  • A. Lype
    Lype is a figure from Greek mythology associated with sorrow and grief, often considered one of the personifications of pain or distress.
  • B. Lyja
    Lyja is a shape-shifting Skrull from Marvel Comics best known for her complex, on-and-off romantic involvement with the Human Torch, Johnny Storm.
  • C. Libná
    Libná is a small settlement that forms part of the town of Teplice nad Metují in the Hradec Králové Region of the Czech Republic.
  • D. Lagyna
    Lagyna is a small settlement within the municipality of Lagkadas in northern Greece.
  • E. Lija
    Lija is a small, picturesque village in central Malta known for its traditional architecture, quiet residential character, and annual fireworks displays.
  • 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: Lygna
Triple: [Lyngdal, hasRiver, Lygna]
Generated description
Lygna is a river in southern Norway that flows through the municipality of Lyngdal before reaching the North Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lygna
Target entity description: Lygna is a river in southern Norway that flows through the municipality of Lyngdal before reaching the North Sea.
  • A. Lype
    Lype is a figure from Greek mythology associated with sorrow and grief, often considered one of the personifications of pain or distress.
  • B. Lyja
    Lyja is a shape-shifting Skrull from Marvel Comics best known for her complex, on-and-off romantic involvement with the Human Torch, Johnny Storm.
  • C. Libná
    Libná is a small settlement that forms part of the town of Teplice nad Metují in the Hradec Králové Region of the Czech Republic.
  • D. Lagyna
    Lagyna is a small settlement within the municipality of Lagkadas in northern Greece.
  • E. Lija
    Lija is a small, picturesque village in central Malta known for its traditional architecture, quiet residential character, and annual fireworks displays.
  • 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc2124c8190a79cf115a1d30283 completed April 28, 2026, 8:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a52bf26ec8190bf868b0c7e791c1f completed May 17, 2026, 11:43 p.m.
NEDg Description generation batch_6a0a54db78a48190ba6e30bb7486aab3 completed May 17, 2026, 11:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0a55bbf8c8819084bdf2f2f0fcecb6 completed May 17, 2026, 11:56 p.m.
Created at: April 16, 2026, 7:06 p.m.