Triple

T4652035
Position Surface form Disambiguated ID Type / Status
Subject River Soar E102317 entity
Predicate flowsThrough P225 FINISHED
Object Quorn
Quorn is a village in Leicestershire, England, known for its historic charm and proximity to the River Soar and the Great Central Railway.
 E457925 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: Quorn | Statement: [River Soar, flowsThrough, Quorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quorn
Context triple: [River Soar, flowsThrough, Quorn]
  • A. Meehni
    Meehni is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
  • B. Navarin
    Navarin is an alternative name for the Battle of Navarino, a decisive 1827 naval engagement during the Greek War of Independence in which an Ottoman-Egyptian fleet was destroyed by a combined British, French, and Russian force.
  • C. Salo
    Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
  • D. Tofol
    Tofol is the administrative center and main town of Kosrae State in the Federated States of Micronesia.
  • E. Utz
    Utz is a 1992 British drama film, based on Bruce Chatwin’s novel, about an eccentric porcelain collector in Communist-era Prague.
  • 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: Quorn
Triple: [River Soar, flowsThrough, Quorn]
Generated description
Quorn is a village in Leicestershire, England, known for its historic charm and proximity to the River Soar and the Great Central Railway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Quorn
Target entity description: Quorn is a village in Leicestershire, England, known for its historic charm and proximity to the River Soar and the Great Central Railway.
  • A. Meehni
    Meehni is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
  • B. Navarin
    Navarin is an alternative name for the Battle of Navarino, a decisive 1827 naval engagement during the Greek War of Independence in which an Ottoman-Egyptian fleet was destroyed by a combined British, French, and Russian force.
  • C. Salo
    Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
  • D. Tofol
    Tofol is the administrative center and main town of Kosrae State in the Federated States of Micronesia.
  • E. Utz
    Utz is a 1992 British drama film, based on Bruce Chatwin’s novel, about an eccentric porcelain collector in Communist-era Prague.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd630343f88190954d19fcd18a5864 completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfae7636881908244b86cba1c66b7 completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfbc12acc8190b8116a6003abb3e3 completed March 21, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc44536c8190a71e52b0690a7570 completed March 21, 2026, 2:02 a.m.
Created at: March 20, 2026, 1:14 p.m.