Triple

T8023599
Position Surface form Disambiguated ID Type / Status
Subject Stanton Drew E186798 entity
Predicate near P350 FINISHED
Object River Chew E310222 NE FINISHED

How this triple was built (2 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 Chew | Statement: [Stanton Drew, near, River Chew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Chew
Context triple: [Stanton Drew, near, River Chew]
  • A. River Chew chosen
    River Chew is a small river in Somerset, England, known for flowing through rural landscapes and villages before joining the River Avon.
  • B. River Cher
    The River Cher is a tributary of the Loire in central France, known for flowing beneath the iconic Château de Chenonceau.
  • C. River Chater
    The River Chater is a small rural river in the East Midlands of England that flows through the county of Rutland before joining the River Welland.
  • D. Darro River
    The Darro River is a small Andalusian river that flows through the historic center of Granada, Spain, running alongside the Alhambra and contributing to the city's distinctive landscape.
  • E. River Euchan
    River Euchan is a small Scottish river that flows through Dumfries and Galloway, known for its scenic glen and popularity for walking and angling.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3e8fb6788190a16413051ec26988 completed March 31, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cecc0d1e148190a6c5043e681ee136 completed April 2, 2026, 8:05 p.m.
Created at: March 30, 2026, 5:21 p.m.