Triple

T16000831
Position Surface form Disambiguated ID Type / Status
Subject Woolsington E388085 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Ponteland E166285 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: Ponteland | Statement: [Woolsington, hasNearbySettlement, Ponteland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ponteland
Context triple: [Woolsington, hasNearbySettlement, Ponteland]
  • A. North Shields
    North Shields is a coastal town on the north bank of the River Tyne in North East England, historically known for its fishing and shipbuilding industries.
  • B. Morpeth chosen
    Morpeth is a historic market town in Northumberland, England, known for its traditional architecture and role as a local commercial and administrative centre.
  • C. Wallsend
    Wallsend is an electoral district in the New South Wales Legislative Assembly, representing a suburban area in the city of Newcastle, Australia.
  • D. Wallsend
    Wallsend is a town in North Tyneside, England, historically significant as the eastern terminus of Hadrian’s Wall and site of the Segedunum Roman Fort.
  • E. Tynemouth
    Tynemouth is a coastal town in Tyne and Wear, England, known for its historic priory and castle overlooking long sandy beaches at the mouth of the River Tyne.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157fba9748190ac8fc27b167d49f7 completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff794c8508190a444af7ce968c5da completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 4:55 a.m.