Triple

T5852715
Position Surface form Disambiguated ID Type / Status
Subject M27 motorway E130073 entity
Predicate passesNear P416 FINISHED
Object Portchester E165499 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: Portchester | Statement: [M27 motorway, passesNear, Portchester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portchester
Context triple: [M27 motorway, passesNear, Portchester]
  • A. Portchester chosen
    Portchester is a village in Hampshire, England, known for its historic Roman fort and as the birthplace of author Neil Gaiman.
  • B. Southbourne
    Southbourne is a village and civil parish in West Sussex, England, situated near Chichester on the south coast.
  • C. Egremont
    Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England character.
  • D. Egremont
    Egremont is a district within the town of Wallasey on the Wirral Peninsula in Merseyside, England.
  • E. Tavistock
    Tavistock is a historic market town in Devon, England, known for its medieval abbey remains and association with the Russell family, Dukes of Bedford.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0355038008190bf38980349b533e2 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1b8f8508190942ce1725884d254 completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:55 p.m.