Triple

T5518561
Position Surface form Disambiguated ID Type / Status
Subject London Borough of Tower Hamlets E144746 entity
Predicate contains P35 FINISHED
Object Bow E259369 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: Bow | Statement: [London Borough of Tower Hamlets, contains, Bow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bow
Context triple: [London Borough of Tower Hamlets, contains, Bow]
  • A. Bow chosen
    Bow is a district in East London, England, known for its historic industrial heritage and proximity to the River Lea and the Queen Elizabeth Olympic Park.
  • B. Bon
    Bon is an ancient Tibetan spiritual tradition and religion, distinct from but historically intertwined with Buddhism, that encompasses rituals, cosmology, and practices rooted in the pre-Buddhist culture of Tibet.
  • C. Batea
    Batea is a historic wine-producing village and municipality in the Terra Alta comarca of Catalonia, Spain.
  • D. Batea
    Batea is a figure in Greek mythology, often depicted as a Trojan princess or queen associated with the early royal lineage of Dardania.
  • E. Bou
    Bou is a surname of Spanish origin borne by Argentine professional footballer Gustavo Bou, among others.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f6eb604819092e9b2207dc741a9 completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027e1ed4c81908f670286556ced81 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:33 p.m.