Triple

T33324501
Position Surface form Disambiguated ID Type / Status
Subject TI E853227 entity
Predicate targetMarketShiftedTo P196914 FINISHED
Object adult-oriented resort market 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: adult-oriented resort market | Statement: [TI, targetMarketShiftedTo, adult-oriented resort market]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetMarketShiftedTo
Context triple: [TI, targetMarketShiftedTo, adult-oriented resort market]
  • A. targetMarket
    Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
  • B. targetQualification
    Indicates that one entity specifies or defines the required qualification or eligibility criteria for another entity.
  • C. hasMarketingTarget
    Indicates that an entity is aimed at or intended to appeal to a specific marketing audience or segment.
  • D. targetBehaviorChange
    Indicates a relationship where an intervention or influence is intended to alter, modify, or redirect an entity’s behavior from its current state to a desired new state.
  • E. hasTargetMarketPositioning
    Indicates the specific market segment and competitive position that an offering is intended to occupy relative to alternatives.
  • 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_69f349685f088190b8fda44083a018a9 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fe6e492bf8819080b25221d13445ea completed May 8, 2026, 11:14 p.m.
PD Predicate disambiguation batch_69fe6dd33a6881908fe9bbbc184cab51 completed May 8, 2026, 11:12 p.m.
PDg Predicate description generation batch_69fe6e4801108190a6be6bec2d52a1b9 completed May 8, 2026, 11:14 p.m.
Created at: May 1, 2026, 1:33 a.m.