Triple

T4590349
Position Surface form Disambiguated ID Type / Status
Subject Lower West Side E103469 entity
Predicate hasHistoricPopulation P25591 FINISHED
Object Czech immigrants 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: Czech immigrants | Statement: [Lower West Side, hasHistoricPopulation, Czech immigrants]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricPopulation
Context triple: [Lower West Side, hasHistoricPopulation, Czech immigrants]
  • A. hasHistoricalEntity
    Indicates a relationship where one entity includes, references, or is associated with another entity that existed or is defined in a past historical context.
  • B. demographicHistory chosen
    Indicates the historical changes and patterns in the composition, size, or structure of a population over time.
  • C. hasPermanentHumanPopulation
    Indicates that an entity consistently hosts a stable, long-term community of human residents rather than only temporary or transient occupants.
  • D. hasHistoricalPolity
    Indicates a relationship where an entity is associated with a political unit or state that existed in the past.
  • E. hasHistoricalOrigin
    Indicates that something originated, was first established, or came into existence during a specific historical period or context.
  • 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_69bd43dccaf08190aa89e9991a289719 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5923c0c88190952137d448d474cf completed March 20, 2026, 2:26 p.m.
PD Predicate disambiguation batch_69bd522acbcc8190bf24d9517793a2c1 completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 1:11 p.m.