Triple

T37576641
Position Surface form Disambiguated ID Type / Status
Subject Detroit television market E934838 entity
Predicate crossBorderMarket P192687 FINISHED
Object true 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: true | Statement: [Detroit television market, crossBorderMarket, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: crossBorderMarket
Context triple: [Detroit television market, crossBorderMarket, true]
  • A. crossBorderTradeHub
    Indicates a location or entity that serves as a central point for facilitating, coordinating, or processing trade activities that occur across national or regional borders.
  • B. crossBorderRegion
    Indicates a region that spans or intersects the boundary between two or more distinct territorial or jurisdictional areas.
  • C. crossBorderAgglomerationWith
    Indicates a relationship where economic or spatial clustering of activities spans or connects across a national or regional border between the linked entities.
  • D. crossBorderProject
    Indicates a project that involves collaboration, impact, or operations spanning across national or jurisdictional borders.
  • E. crossBorderLinks
    Indicates connections or interactions that extend across or link entities in different geographic or political jurisdictions.
  • 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_69f76ecd99148190be327e391a70f5b6 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fd231cab588190ad0953dc8f4af8f2 completed May 7, 2026, 11:41 p.m.
PD Predicate disambiguation batch_69fd1aa3f1c481909fe6e9cab1383551 completed May 7, 2026, 11:05 p.m.
PDg Predicate description generation batch_69fd231bdd108190900369e07c854e95 completed May 7, 2026, 11:41 p.m.
Created at: May 3, 2026, 4:17 p.m.