Triple

T3308833
Position Surface form Disambiguated ID Type / Status
Subject Hongshan District E69519 entity
Predicate hasEconomicFocus P47951 FINISHED
Object education 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: education | Statement: [Hongshan District, hasEconomicFocus, education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEconomicFocus
Context triple: [Hongshan District, hasEconomicFocus, education]
  • A. hasEconomicPosition
    Indicates that an entity holds a particular role, status, or standing within an economic system or structure.
  • B. hasEconomicRole
    Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
  • C. hasEconomicDevelopment
    Indicates that one entity possesses, experiences, or is characterized by a certain level or type of economic growth, progress, or improvement in its economic conditions.
  • 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. hasEconomicOrganization
    Indicates that an entity possesses, is associated with, or participates in a specific economic organization or institutional economic structure.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0e9f33c81909cff835a83e0a657 completed March 8, 2026, 5:24 p.m.
PD Predicate disambiguation batch_69ada4282730819092aa39c5f9269df0 completed March 8, 2026, 4:30 p.m.
PDg Predicate description generation batch_69ada526764881908e4bd52938d5374d completed March 8, 2026, 4:34 p.m.
Created at: March 8, 2026, 3:11 p.m.