Triple

T18193631
Position Surface form Disambiguated ID Type / Status
Subject NWOBHM E435603 entity
Predicate sceneCenter P130176 FINISHED
Object London NE NERFINISHED

How this triple was built (3 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: London | Statement: [NWOBHM, sceneCenter, London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London
Context triple: [NWOBHM, sceneCenter, London]
  • A. London
    London is a major Ethereum network upgrade that introduced significant changes to the protocol’s fee market and transaction pricing mechanisms.
  • B. London
    London is a major city in Kiribati, located on Kiritimati (Christmas Island) in the central Pacific Ocean.
  • C. London, England chosen
    London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
  • D. Allondon
    Allondon is a small river in western Switzerland and neighboring France, known for flowing through the Geneva region and its natural, relatively unspoiled surroundings.
  • E. York, England
    York, England is a historic walled city in northern England renowned for its medieval architecture, including York Minster, and its rich Roman and Viking heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sceneCenter
Context triple: [NWOBHM, sceneCenter, London]
  • A. centralScene
    Indicates that one scene functions as the main or focal scene within a larger narrative, sequence, or composition.
  • B. movementCenter
    Indicates the central point or primary location around which an entity’s movement or motion is organized or focused.
  • C. visualCenterpiece
    Indicates that one entity serves as the primary visual focus or dominant visual element in relation to another entity.
  • D. sceneFeature
    Indicates a characteristic, element, or attribute that is present within or helps define a particular scene.
  • E. centerOfOrigin
    Indicates the place or region where something (such as a species, product, idea, or movement) originally began or was first developed.
  • F. None of above. chosen

Provenance (4 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d12b688190842375dcc5d5537c completed April 19, 2026, 2:04 p.m.
PD Predicate disambiguation batch_69e4331e92408190ad607ba4956a3897 completed April 19, 2026, 1:42 a.m.
PDg Predicate description generation batch_69e438f684e48190b38c64b58c518b6a completed April 19, 2026, 2:07 a.m.
Created at: April 10, 2026, 10:31 a.m.