Triple

T14521497
Position Surface form Disambiguated ID Type / Status
Subject West Bay district E340660 entity
Predicate partOfEconomicRole P2223 FINISHED
Object financial center of Doha 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: financial center of Doha | Statement: [West Bay district, partOfEconomicRole, financial center of Doha]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partOfEconomicRole
Context triple: [West Bay district, partOfEconomicRole, financial center of Doha]
  • A. hasEconomicRole chosen
    Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
  • B. socioeconomicRole
    Indicates the social and economic position, function, or status an entity holds within a society or system.
  • C. positionOnGovernmentRoleInEconomy
    Indicates a stance or viewpoint regarding how much and in what ways the government should intervene or participate in the economy.
  • D. laborMarketRole
    Indicates the role, function, or position an entity holds within the labor market, such as its job type, employment status, or economic participation category.
  • E. majorTradeRole
    Indicates that an entity plays a primary or highly significant role in trade activities or commercial exchange within a given 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a72cff08190878b4bed9b0b5eb5 completed April 14, 2026, 7:50 p.m.
PD Predicate disambiguation batch_69de5c518fc08190a6ce4d8be05c4c5d completed April 14, 2026, 3:25 p.m.
Created at: April 10, 2026, 1:22 a.m.