Triple

T19085842
Position Surface form Disambiguated ID Type / Status
Subject BR-163 highway E467146 entity
Predicate locatedInRegion P40 FINISHED
Object Amazon 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: Amazon region | Statement: [BR-163 highway, locatedInRegion, Amazon region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon region
Context triple: [BR-163 highway, locatedInRegion, Amazon region]
  • A. Amazon region chosen
    The Amazon region is a vast tropical rainforest and river basin in South America, renowned for its unparalleled biodiversity and critical role in regulating the global climate.
  • B. AWS regions
    AWS regions are geographically distinct data center areas operated by Amazon Web Services that provide isolated, redundant infrastructure for deploying and running cloud resources close to end users.
  • C. EC2M
    EC2M is a central London postcode sector covering part of the City of London around Liverpool Street and its surrounding commercial and financial areas.
  • D. Aws
    Aws was one of the major Arab tribes of Medina that played a pivotal role in supporting Prophet Muhammad and the early Muslim community after the Hijrah.
  • E. Amazon Aurora
    Amazon Aurora is a fully managed, cloud-native relational database engine from AWS designed for high performance, scalability, and compatibility with MySQL and PostgreSQL.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e346f57c8190a6299e09a0be9e05 completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.