Triple

T17635325
Position Surface form Disambiguated ID Type / Status
Subject Bentley railway station E430078 entity
Predicate regionDuringBritishRail P15232 FINISHED
Object Southern Region NE NERFINISHED

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: Southern Region | Statement: [Bentley railway station, regionDuringBritishRail, Southern Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southern Region
Context triple: [Bentley railway station, regionDuringBritishRail, Southern Region]
  • A. Southern Region
    The Southern Region is an administrative area of Malta that includes the town of Paola among its localities.
  • B. Southern Region
    Southern Region is an administrative region in southern Eritrea, known for its highland landscapes, agriculture, and historical sites.
  • C. Southern Region chosen
    The Southern Region was a division of British Railways responsible for rail services in southern England, including former Southern Railway lines.
  • D. South Region
    The South Region is one of the four geographic brackets used to organize teams and games in the NCAA Division I Men’s Basketball Tournament.
  • E. South Region
    South Region is one of Cameroon's ten regions, located in the southern part of the country and known for its coastal areas, dense forests, and significant natural resources.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46ddfeb7c8190a369b438e43d47b4 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.