Triple

T33569731
Position Surface form Disambiguated ID Type / Status
Subject 长寿路 E859860 entity
Predicate 所在城市车牌代码 P111077 FINISHED
Object 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: 沪 | Statement: [长寿路, 所在城市车牌代码, 沪]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 所在城市车牌代码
Context triple: [长寿路, 所在城市车牌代码, 沪]
  • A. cityCode chosen
    Indicates the standardized code that uniquely identifies a particular city.
  • B. vehicleRegistrationCode
    Indicates the official registration identifier assigned to a vehicle, typically used for legal identification and record-keeping.
  • C. associatedCityCode
    Indicates that an entity is linked or related to a specific city identified by its code.
  • D. licensePlateLocation
    Indicates the physical position or placement of a license plate on or relative to an object or vehicle.
  • E. locationCode
    Indicates the specific coded location associated with an entity, event, or relationship.
  • 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_69f3497c1d288190a844ea699914e038 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f742f9788190be2d5890a46bfe8b completed May 3, 2026, 7:20 a.m.
PD Predicate disambiguation batch_69f6f6632dfc8190af85e258c8519207 completed May 3, 2026, 7:16 a.m.
Created at: May 1, 2026, 1:40 a.m.