Triple

T635768
Position Surface form Disambiguated ID Type / Status
Subject River Trent E16617 entity
Predicate flowsThrough P225 FINISHED
Object Stone
Stone is a market town in Staffordshire, England, known historically for its canal and brewing heritage.
 E79768 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: Stone | Statement: [River Trent, flowsThrough, Stone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stone
Context triple: [River Trent, flowsThrough, Stone]
  • A. Stone
    Stone is a common English surname borne by numerous notable individuals across history, including figures in religion, politics, arts, and sciences.
  • B. Stone
    "Stone" is a 2010 American crime drama film directed by John Curran, starring Robert De Niro, Edward Norton, and Milla Jovovich in a tense psychological story of manipulation and redemption.
  • C. Black Stone
    The Black Stone is a revered Islamic relic set into the eastern corner of the Kaaba in Mecca, which pilgrims traditionally try to touch or kiss during the Hajj and Umrah rituals.
  • D. Crystal
    Crystal is a feminine given name often associated with clarity and beauty, derived from the English word for clear, transparent mineral or glass.
  • E. Quartz
    Quartz is a digital news outlet known for its global business journalism, data-driven reporting, and mobile-first storytelling.
  • 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: Stone
Triple: [River Trent, flowsThrough, Stone]
Generated description
Stone is a market town in Staffordshire, England, known historically for its canal and brewing heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stone
Target entity description: Stone is a market town in Staffordshire, England, known historically for its canal and brewing heritage.
  • A. Stone
    Stone is a common English surname borne by numerous notable individuals across history, including figures in religion, politics, arts, and sciences.
  • B. Stone
    "Stone" is a 2010 American crime drama film directed by John Curran, starring Robert De Niro, Edward Norton, and Milla Jovovich in a tense psychological story of manipulation and redemption.
  • C. Black Stone
    The Black Stone is a revered Islamic relic set into the eastern corner of the Kaaba in Mecca, which pilgrims traditionally try to touch or kiss during the Hajj and Umrah rituals.
  • D. Crystal
    Crystal is a feminine given name often associated with clarity and beauty, derived from the English word for clear, transparent mineral or glass.
  • E. Quartz
    Quartz is a digital news outlet known for its global business journalism, data-driven reporting, and mobile-first storytelling.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee667f08190a0332b8f6c569e1a completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56ef25ffc81908517310fe0c84a68 completed March 2, 2026, 11:05 a.m.
NEDg Description generation batch_69a56f5668108190910db85f3beb5eed completed March 2, 2026, 11:07 a.m.
NED2 Entity disambiguation (via description) batch_69a5733acb188190b4cdd12ed3a96860 completed March 2, 2026, 11:23 a.m.
Created at: March 1, 2026, 7:35 p.m.