Triple

T11484130
Position Surface form Disambiguated ID Type / Status
Subject 天河区 E272229 entity
Predicate 经济特征 P52901 FINISHED
Object 第三产业发达 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: 第三产业发达 | Statement: [天河区, 经济特征, 第三产业发达]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 经济特征
Context triple: [天河区, 经济特征, 第三产业发达]
  • A. economicFunction
    Indicates the role or purpose an entity serves within an economic system, such as how it contributes to production, distribution, or consumption of goods and services.
  • B. economicAspect
    Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
  • C. hasEconomyCharacteristic chosen
    Indicates that an economy possesses a particular attribute, feature, or quality.
  • D. economicProperty
    Indicates that an entity possesses a specific economic characteristic, attribute, or condition, such as value, cost, or financial status, in relation to another entity or context.
  • E. economicTrend
    Indicates the general direction or pattern of economic activity or conditions over a period of time.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a1ea00c8190b42cdc13a6bc61c3 completed April 10, 2026, 2:02 a.m.
PD Predicate disambiguation batch_69d8086ecd6c81908f424864857762d6 completed April 9, 2026, 8:13 p.m.
Created at: April 8, 2026, 9:36 p.m.