Triple

T17577773
Position Surface form Disambiguated ID Type / Status
Subject Region A E428115 entity
Predicate borderedBy P224 FINISHED
Object Region C 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: Region C | Statement: [Region A, borderedBy, Region C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Region C
Context triple: [Region A, borderedBy, Region C]
  • A. Region C chosen
    Region C is an administrative region within the City of Johannesburg Metropolitan Municipality, encompassing several western suburbs and residential areas of Johannesburg, South Africa.
  • B. Region E
    Region E is an administrative region within the City of Johannesburg Metropolitan Municipality, encompassing several suburbs and commercial areas in the city’s northeastern part.
  • C. Region B
    Region B is an administrative region within the City of Johannesburg Metropolitan Municipality in South Africa, encompassing several suburbs and residential areas of the city.
  • D. Region V
    Region V, also known as the Bicol Region, is an administrative region in the southeastern part of Luzon in the Philippines known for its active volcanoes, spicy cuisine, and strong Catholic traditions.
  • E. Region D
    Region D is an administrative region within the City of Johannesburg Metropolitan Municipality, encompassing parts of the city for local governance and service delivery.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cb40088190b726f2c026358cf2 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.