Triple

T17101666
Position Surface form Disambiguated ID Type / Status
Subject River Lossie E414993 entity
Predicate hasName P744 FINISHED
Object Lossie
Lossie is a river in northeast Scotland that flows through Moray before entering the North Sea at Lossiemouth.
 E1251663 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: Lossie | Statement: [River Lossie, hasName, Lossie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lossie
Context triple: [River Lossie, hasName, Lossie]
  • A. Losing
    "Losing" is a song by R&B artist H.E.R., featured on her self-titled compilation album and known for its emotive vocals and introspective lyrics about heartbreak and vulnerability.
  • B. Loser
    "Loser" is a rock song by American band 3 Doors Down, released as a single from their debut album "The Better Life" and known for its dark, introspective lyrics and strong chart performance.
  • C. Loser
    "Loser" is a 2000 romantic comedy film starring Jason Biggs as a socially awkward college student navigating love and friendship in New York City.
  • D. Loser
    "Loser" is a breakthrough 1993 alternative rock single by Beck that blends folk, hip hop, and lo-fi elements and became his first major hit.
  • E. Loser
    "Loser" is a pop song by American singer-songwriter Charlie Puth, known for its catchy melody and emotionally vulnerable lyrics about heartbreak and regret.
  • 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: Lossie
Triple: [River Lossie, hasName, Lossie]
Generated description
Lossie is a river in northeast Scotland that flows through Moray before entering the North Sea at Lossiemouth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lossie
Target entity description: Lossie is a river in northeast Scotland that flows through Moray before entering the North Sea at Lossiemouth.
  • A. Losing
    "Losing" is a song by R&B artist H.E.R., featured on her self-titled compilation album and known for its emotive vocals and introspective lyrics about heartbreak and vulnerability.
  • B. Loser
    "Loser" is a 2000 romantic comedy film starring Jason Biggs as a socially awkward college student navigating love and friendship in New York City.
  • C. Loser
    "Loser" is a breakthrough 1993 alternative rock single by Beck that blends folk, hip hop, and lo-fi elements and became his first major hit.
  • D. Loser
    "Loser" is a pop song by American singer-songwriter Charlie Puth, known for its catchy melody and emotionally vulnerable lyrics about heartbreak and regret.
  • E. Loser
    "Loser" is a rock song by American band 3 Doors Down, released as a single from their debut album "The Better Life" and known for its dark, introspective lyrics and strong chart performance.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc239a088190a776fe0f4361ffc7 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139fdda488190a1ca5c7ca875e044 completed May 11, 2026, 2:07 a.m.
NEDg Description generation batch_6a013c4c0e6c8190a66fdee15f928444 completed May 11, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_6a013cc0559881909a903ee05562b658 completed May 11, 2026, 2:19 a.m.
Created at: April 10, 2026, 5:35 a.m.