Triple

T791787
Position Surface form Disambiguated ID Type / Status
Subject Pontypridd E16929 entity
Predicate region P40 FINISHED
Object Taff Valley 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: Taff Valley | Statement: [Pontypridd, region, Taff Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taff Valley
Context triple: [Pontypridd, region, Taff Valley]
  • A. Calder Valley
    Calder Valley is a scenic valley in West Yorkshire, England, known for its steep hills, historic mill towns, and the River Calder running through it.
  • B. Plynlimon
    Plynlimon is a massif in central Wales known as the mountainous area where several major rivers, including the River Severn, have their headwaters.
  • C. 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.
  • D. Moffat Water
    Moffat Water is a river in Dumfriesshire, Scotland, that flows through the town of Moffat and its surrounding valley.
  • E. Firth
    Firth is the surname of English actor Colin Firth, known for his acclaimed performances in films such as "The King’s Speech" and "Pride and Prejudice."
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a798c7608190b9c79c52a1fe0859 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a792892a588190b15b0cb95c431084 completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:38 p.m.