Triple

T14545873
Position Surface form Disambiguated ID Type / Status
Subject Hume corridor E341289 entity
Predicate hasPart P35 FINISHED
Object Seymour unclear NED1 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: Seymour | Statement: [Hume corridor, hasPart, Seymour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seymour
Context triple: [Hume corridor, hasPart, Seymour]
  • A. Seymour
    Seymour is a small town in New Haven County, Connecticut, known for its historic industrial roots along the Naugatuck River.
  • B. Seymour
    Seymour is a regional town in central Victoria, Australia, known as a key agricultural and transport hub on the route between Melbourne and Sydney.
  • C. Seymour
    Seymour is a small unincorporated community and suburban area in eastern Tennessee, situated near Knoxville in the foothills of the Great Smoky Mountains.
  • D. Seymour
    Seymour is a masculine given name of English origin that has been borne by various notable figures in fields such as business, politics, and the arts.
  • E. Leland
    Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bfc2b48190adb0897682c26a9a completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a60f2f88190b08fdf0a3095d0a7 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.