Triple

T8647445
Position Surface form Disambiguated ID Type / Status
Subject Laughton, Sussex E205012 entity
Predicate hasChurch P15000 FINISHED
Object All Saints Church, Laughton E205015 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: All Saints Church, Laughton | Statement: [Laughton, Sussex, hasChurch, All Saints Church, Laughton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All Saints Church, Laughton
Context triple: [Laughton, Sussex, hasChurch, All Saints Church, Laughton]
  • A. All Saints Church, Laughton, Sussex chosen
    All Saints Church in Laughton, Sussex is a historic parish church notable as the traditional burial place of the Pelham family, including British Prime Minister Henry Pelham.
  • B. All Saints Church
    All Saints Church is a historic Orthodox church located within the Kyiv Pechersk Lavra monastic complex in Kyiv, Ukraine.
  • C. All Saints Church
    All Saints Church is a historic Christian church located in the city of Nizhyn, Ukraine.
  • D. All Saints Church
    All Saints Church is a Christian place of worship serving the community of Hale Barns in Greater Manchester, England.
  • E. All Saints’ Church
    All Saints’ Church is a historic Lutheran church in Wittenberg, Germany, renowned as the site where Martin Luther is said to have posted his Ninety-Five Theses, sparking the Protestant Reformation.
  • 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48112b4881908901214f41b6bf71 completed March 31, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccb8b91881908630f3e4c4461af4 completed April 2, 2026, 8:08 p.m.
Created at: March 30, 2026, 6:29 p.m.