Triple

T3648108
Position Surface form Disambiguated ID Type / Status
Subject Palacefields E77350 entity
Predicate nearbyArea P2064 FINISHED
Object Murdishaw E77349 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: Murdishaw | Statement: [Palacefields, nearbyArea, Murdishaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murdishaw
Context triple: [Palacefields, nearbyArea, Murdishaw]
  • A. Murdishaw chosen
    Murdishaw is a residential suburb located in the town of Runcorn in Cheshire, England.
  • B. Shendam
    Shendam is a historic town and local government area in central Nigeria known as one of the oldest settlements in Plateau State and a regional administrative and commercial center.
  • C. Mauregard
    Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
  • D. Rocherath
    Rocherath is a village in eastern Belgium, close to the German border, known for its location near key World War II Battle of the Bulge sites.
  • E. Hamra
    Hamra is a vibrant, cosmopolitan neighborhood in Beirut, Lebanon, known for its bustling commercial streets, cafes, and cultural life.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38aa2388190bf1af926375e2433 completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f3c85348190b1d16179294f7f09 completed March 13, 2026, 5:54 p.m.
Created at: March 8, 2026, 3:24 p.m.