Triple

T635784
Position Surface form Disambiguated ID Type / Status
Subject River Trent E16617 entity
Predicate tributary P415 FINISHED
Object River Sow
The River Sow is a river in Staffordshire, England, that flows through the town of Stafford before joining the River Trent.
E88254 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: River Sow | Statement: [River Trent, tributary, River Sow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Sow
Context triple: [River Trent, tributary, River Sow]
  • A. Asshewaqua
    Asshewaqua was the wife of the Sauk leader Black Hawk, a prominent Native American figure in early 19th-century United States history.
  • B. Ourthe River
    The Ourthe River is a major watercourse in southeastern Belgium that flows through the Ardennes region before joining the Meuse River.
  • C. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • D. Opalescent River
    The Opalescent River is a scenic mountain river in New York’s Adirondack High Peaks region, known as one of the headwater streams contributing to the Hudson River.
  • E. River Chor
    The River Chor is a small river in Lancashire, England, that flows through the town of Chorley and lends its name to the area.
  • 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: River Sow
Triple: [River Trent, tributary, River Sow]
Generated description
The River Sow is a river in Staffordshire, England, that flows through the town of Stafford before joining the River Trent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: River Sow
Target entity description: The River Sow is a river in Staffordshire, England, that flows through the town of Stafford before joining the River Trent.
  • A. Asshewaqua
    Asshewaqua was the wife of the Sauk leader Black Hawk, a prominent Native American figure in early 19th-century United States history.
  • B. Ourthe River
    The Ourthe River is a major watercourse in southeastern Belgium that flows through the Ardennes region before joining the Meuse River.
  • C. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • D. Opalescent River
    The Opalescent River is a scenic mountain river in New York’s Adirondack High Peaks region, known as one of the headwater streams contributing to the Hudson River.
  • E. River Chor
    The River Chor is a small river in Lancashire, England, that flows through the town of Chorley and lends its name to the area.
  • 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_69a64a4ba2d88190969e7c777a1bbfd7 completed March 3, 2026, 2:41 a.m.
NEDg Description generation batch_69a64e773be08190abd15ff6ad35f37b completed March 3, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69a64edbfbe08190b49d26d572e3a484 completed March 3, 2026, 3 a.m.
Created at: March 1, 2026, 7:35 p.m.