Triple

T24577772
Position Surface form Disambiguated ID Type / Status
Subject Greensboro–High Point metropolitan area E608159 entity
Predicate formsCombinedAreaWith P70673 FINISHED
Object Winston-Salem metropolitan area NE NERFINISHED

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: Winston-Salem metropolitan area | Statement: [Greensboro–High Point metropolitan area, formsCombinedAreaWith, Winston-Salem metropolitan area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formsCombinedAreaWith
Context triple: [Greensboro–High Point metropolitan area, formsCombinedAreaWith, Winston-Salem metropolitan area]
  • A. isPartOfCombinedArea
    Indicates that an entity belongs to or is included within a larger merged or aggregated area.
  • B. combinedIn chosen
    Indicates that two or more entities are merged, joined, or used together to form a single combined whole or context.
  • C. includesAreaOf
    Indicates that one entity encompasses or contains the spatial extent or area covered by another entity.
  • D. formedTogetherWith
    Indicates that two or more entities were created, established, or brought into existence at the same time or as part of the same formation process.
  • E. formedByUnionOf
    Indicates that something is created or defined as the union or combination of multiple other things.
  • 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_69e2c4cdab6c8190aae6e5d3de55c95e completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a97be2ac8190aecf5e54a37e266a completed April 30, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69f2a6c1f07081908edf0b521767e79b completed April 30, 2026, 12:48 a.m.
Created at: April 18, 2026, 2:29 a.m.