Triple

T19802066
Position Surface form Disambiguated ID Type / Status
Subject Penlan E475705 entity
Predicate locatedNear P294 FINISHED
Object Townhill 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: Townhill | Statement: [Penlan, locatedNear, Townhill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Townhill
Context triple: [Penlan, locatedNear, Townhill]
  • A. Townhill chosen
    Townhill is a residential district and hilltop community in Swansea, Wales, known for its extensive housing estates and views over the city and Swansea Bay.
  • B. Hillhead
    Hillhead is a central street in Lerwick, Shetland, known for hosting key civic buildings including Lerwick Town Hall.
  • C. Hillhead
    Hillhead is a vibrant district in Glasgow’s West End known for its proximity to the University of Glasgow, bustling Byres Road, and a mix of shops, cafes, and cultural venues.
  • D. Dalcross
    Dalcross is a small settlement in the Scottish Highlands, near Inverness, known for its proximity to Inverness Airport and the former RAF Dalcross airfield.
  • E. Braeside
    Braeside is an industrial and residential suburb in Melbourne, Victoria, Australia, known for its business parks and proximity to major transport routes.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654257cb4819096fb2aa5d1f7fbb0 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:49 p.m.