Triple

T8906462
Position Surface form Disambiguated ID Type / Status
Subject 外滩 E212071 entity
Predicate 城市象征 P10919 FINISHED
Object 上海重要城市名片 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: 上海重要城市名片 | Statement: [外滩, 城市象征, 上海重要城市名片]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 城市象征
Context triple: [外滩, 城市象征, 上海重要城市名片]
  • A. citySymbol chosen
    Indicates that one entity serves as the official symbol or emblem representing a particular city.
  • B. citySymbolOf
    Indicates that a particular city serves as an official symbol or emblem representing another entity, such as a region, organization, or concept.
  • C. cityRepresentation
    Indicates that one entity serves as the official or primary representative (such as a government, organization, or office) for a particular city in some context.
  • D. representsCity
    Indicates that one entity serves as the official representative or embodiment of a particular city.
  • E. emblematicBuildingLocation
    Indicates that a building serves as a symbolic or representative landmark for a particular location or area.
  • 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc64c51d6c819098dc33a480dfd462 completed April 1, 2026, 12:20 a.m.
PD Predicate disambiguation batch_69cc5ecf55248190a29f00fbf99f13c4 completed March 31, 2026, 11:54 p.m.
Created at: March 30, 2026, 6:55 p.m.