Triple

T29419208
Position Surface form Disambiguated ID Type / Status
Subject Porto Sant’Elpidio E746111 entity
Predicate hasProminentIndustryCluster P133571 FINISHED
Object footwear district of Marche 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: footwear district of Marche | Statement: [Porto Sant’Elpidio, hasProminentIndustryCluster, footwear district of Marche]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProminentIndustryCluster
Context triple: [Porto Sant’Elpidio, hasProminentIndustryCluster, footwear district of Marche]
  • A. isPartOfEconomicCluster
    Indicates that an entity belongs to, or is included within, a larger economic cluster or grouping based on economic relationships or activities.
  • B. notableIndustryInArea chosen
    Indicates that a particular industry is especially prominent, significant, or well-known within a given geographic area.
  • C. hasIndustrialSector
    Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
  • D. hasServiceSectorDominance
    Indicates that the service sector constitutes the largest or most influential portion of an entity’s overall economic or operational activity.
  • E. hasNearbyIndustry
    Indicates that an entity is located close to one or more industrial facilities or activities.
  • 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_69f0a79f6d5c8190a350baed0157e06f completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69ff76ac40988190a34d858b5472ee2b completed May 9, 2026, 6:02 p.m.
PD Predicate disambiguation batch_69ff760a90948190a12fcb80e6e3e14b completed May 9, 2026, 5:59 p.m.
Created at: April 28, 2026, 3:04 p.m.