Triple

T1002596
Position Surface form Disambiguated ID Type / Status
Subject Nantucket County E21636 entity
Predicate currentMajorEconomicSector P20603 FINISHED
Object tourism 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: tourism | Statement: [Nantucket County, currentMajorEconomicSector, tourism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: currentMajorEconomicSector
Context triple: [Nantucket County, currentMajorEconomicSector, tourism]
  • A. economicSectorSourceOfWealth
    Indicates that a particular economic sector is the primary source from which an entity derives its wealth or income.
  • B. hasIndustrialSector chosen
    Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
  • C. isMajorIndustrialEconomy
    Indicates that an entity is one of the world’s leading industrialized economies, characterized by large-scale industrial output and significant influence in global economic activity.
  • D. economicSectorIssue
    Indicates that there is a problem, challenge, or concern affecting a particular economic sector.
  • E. economicClassification
    Indicates how an entity is categorized based on its economic characteristics, status, or role within an economic system.
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4fe0a548190aee8abf1890e141e completed March 1, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69a4b2b1f4f88190822598cfd2a0fd2b completed March 1, 2026, 9:42 p.m.
Created at: March 1, 2026, 7:41 p.m.