Triple

T22666909
Position Surface form Disambiguated ID Type / Status
Subject Dongjing E559814 entity
Predicate hasCityLayoutFeature P1495 FINISHED
Object imperial palace complex LITERAL 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: imperial palace complex | Statement: [Dongjing, hasCityLayoutFeature, imperial palace complex]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCityLayoutFeature
Context triple: [Dongjing, hasCityLayoutFeature, imperial palace complex]
  • A. hasUrbanLayoutType
    Indicates that an entity possesses or is characterized by a specific type or pattern of urban spatial layout.
  • B. urbanLayout
    Indicates how the spatial arrangement, organization, and structure of buildings, streets, and public spaces relate to one another within an urban area.
  • C. hasUrbanFeature chosen
    Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
  • D. partOfUrbanLayout
    Indicates that one entity is a component or constituent element within the overall structure or organization of an urban area.
  • E. hasStreetLayoutCenteredOn
    Indicates that the spatial organization or pattern of streets in one place is arranged with a particular feature or location as its central focus or reference point.
  • F. None of above.

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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1781ceca08190ba1309570e81c5af completed April 29, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69ee62a6245881909506ff502da14137 completed April 26, 2026, 7:08 p.m.
Created at: April 17, 2026, 3:09 p.m.