Triple

T1739029
Position Surface form Disambiguated ID Type / Status
Subject Book V (A History of New York) E37988 entity
Predicate isFictionalizedAccountOf P3171 FINISHED
Object history of New York under the Dutch 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: history of New York under the Dutch | Statement: [Book V (A History of New York), isFictionalizedAccountOf, history of New York under the Dutch]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isFictionalizedAccountOf
Context triple: [Book V (A History of New York), isFictionalizedAccountOf, history of New York under the Dutch]
  • A. fictionalizationOf chosen
    Indicates that one entity is a fictional or dramatized representation, adaptation, or reimagining of another (typically real or earlier) entity or event.
  • B. hasFictionalProprietor
    Indicates that something is owned, managed, or run by a fictional character or entity within a narrative context.
  • C. hasFictionalRole
    Indicates that an entity plays or is assigned a specific role within a fictional work or narrative.
  • D. fictionalOrigin
    Indicates that one entity originates from, or was first introduced within, a fictional work, universe, or narrative created by another entity.
  • E. hasNotableFictionalBearer
    Indicates that an entity is associated with at least one well-known fictional character that bears its name or designation.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab3c2559ac8190905186406fcaccb9 completed March 6, 2026, 8:42 p.m.
PD Predicate disambiguation batch_69aa61c4023c819099cbe439aefda71f completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:30 p.m.