Triple

T2864268
Position Surface form Disambiguated ID Type / Status
Subject Fishtown E63399 entity
Predicate gentrificationIntensified P36148 FINISHED
Object early 21st century 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: early 21st century | Statement: [Fishtown, gentrificationIntensified, early 21st century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: gentrificationIntensified
Context triple: [Fishtown, gentrificationIntensified, early 21st century]
  • A. intensifiedInDecade chosen
    Indicates that the intensity, frequency, or impact of something increased during a specified decade.
  • B. isUrbanizing
    Indicates a process in which an area or population becomes more urban in character, typically through increased development, infrastructure, and concentration of people and activities.
  • C. hasUrbanGrowthCharacteristic
    Indicates that an entity exhibits a particular quality, pattern, or feature related to urban growth or expansion.
  • D. hasSuburbanGrowth
    Indicates that an area or entity is experiencing or characterized by expansion or development typical of suburban environments.
  • E. urbanRedevelopmentArea
    Indicates that a location is designated for concentrated urban renewal activities such as redevelopment, revitalization, or land-use transformation.
  • 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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfb853908190aa2fd492e9fa5e87 completed March 7, 2026, 8:20 a.m.
PD Predicate disambiguation batch_69abdd123ec48190af50a1859aea50b7 completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:02 p.m.