Triple

T16040087
Position Surface form Disambiguated ID Type / Status
Subject Ladywell area of Salford E389070 entity
Predicate near P350 FINISHED
Object Pendleton E37550 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: Pendleton | Statement: [Ladywell area of Salford, near, Pendleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pendleton
Context triple: [Ladywell area of Salford, near, Pendleton]
  • A. Pendleton chosen
    Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
  • B. Pendleton
    Pendleton is a small city in northeastern Oregon known for its historic downtown, Native American cultural heritage, and the annual Pendleton Round-Up rodeo.
  • C. Pendleton
    Pendleton is a masculine given name and surname of English origin, historically associated with various notable American figures.
  • D. Paxton
    Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
  • E. Paxton
    Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833f84188190baa3a452df880284 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd77c5481908644742a8a8f3e68 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:56 a.m.