Triple

T23434807
Position Surface form Disambiguated ID Type / Status
Subject G2 Beijing–Shanghai Expressway E563427 entity
Predicate connectsMajorEconomicHub P56161 FINISHED
Object Shanghai NE NERFINISHED

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: Shanghai | Statement: [G2 Beijing–Shanghai Expressway, connectsMajorEconomicHub, Shanghai]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: connectsMajorEconomicHub
Context triple: [G2 Beijing–Shanghai Expressway, connectsMajorEconomicHub, Shanghai]
  • A. connectsMajorCity chosen
    Indicates that one entity serves as a link or route providing direct connection to a major city.
  • B. hasMajorCityHub
    Indicates that an entity contains or is associated with a primary, high-importance city that functions as a central hub for activity, services, or connectivity.
  • C. isMajorEconomicAreaFor
    Indicates that a location or region serves as a primary center of significant economic activity for a specified entity or sector.
  • D. isEconomicCenter
    Indicates that an entity functions as a primary hub for economic activity, such as trade, finance, or industry, within a region or system.
  • E. hasMajorEconomicRegion
    Indicates that an entity includes, is associated with, or is part of a primary or significant economic region within a larger economic or geographic context.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5daabcc819094446a80723a487b completed April 29, 2026, 6:31 a.m.
PD Predicate disambiguation batch_69f061f92da081908e7f1d0cd1e9b01c completed April 28, 2026, 7:30 a.m.
Created at: April 17, 2026, 5:49 p.m.