Triple

T8706268
Position Surface form Disambiguated ID Type / Status
Subject Islip E206658 entity
Predicate locatedNear P294 FINISHED
Object River Ray E459208 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 Ray | Statement: [Islip, locatedNear, River Ray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Ray
Context triple: [Islip, locatedNear, River Ray]
  • A. River Ray chosen
    The River Ray is a small tributary of the River Cherwell in Oxfordshire, England, flowing through rural countryside and villages such as Islip.
  • B. River Blithe
    River Blithe is a small river in Staffordshire, England, known for flowing through rural landscapes before joining the River Trent.
  • C. River Bure
    The River Bure is a river in Norfolk, England, that flows through the Norfolk Broads before reaching the North Sea near Great Yarmouth.
  • D. river Dill
    The river Dill is a tributary of the Lahn in central Germany, flowing through the town of Dillenburg and the surrounding region of Hesse and North Rhine-Westphalia.
  • E. Tish Rivers
    Tish Rivers is the young, determined protagonist of James Baldwin’s novel *If Beale Street Could Talk*, who fights to prove her fiancé’s innocence while navigating love, family, and systemic injustice.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58fcac748190a82b57aeb7c43df9 completed March 31, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28aac77c8190b4f5968643715765 completed April 3, 2026, 2:40 a.m.
Created at: March 30, 2026, 6:35 p.m.