Triple

T14279062
Position Surface form Disambiguated ID Type / Status
Subject Wood Street, Cardiff E353993 entity
Predicate near P350 FINISHED
Object River Taff E35547 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: River Taff | Statement: [Wood Street, Cardiff, near, River Taff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Taff
Context triple: [Wood Street, Cardiff, near, River Taff]
  • A. River Taff chosen
    The River Taff is a major river in South Wales that flows through Merthyr Tydfil and Cardiff before reaching the Bristol Channel.
  • B. Neath
    Neath is a historic industrial and market town in South Wales, known for its Roman and medieval heritage and its role in the coal and steel industries.
  • C. Rhymney River
    The Rhymney River is a river in South Wales that flows through the city of Cardiff before reaching the Bristol Channel.
  • D. Afon Taf
    Afon Taf is a river in southwest Wales that flows through Carmarthenshire before reaching the sea at Carmarthen Bay.
  • E. River Teifi
    The River Teifi is a major river in west Wales known for its scenic valley, rich wildlife, and traditional coracle fishing.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6585270c8190a717127b2f5dab3b completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aa2b7908190831e6c07abcc091d completed May 8, 2026, 7:02 a.m.
Created at: April 10, 2026, 1:10 a.m.