Triple

T9540145
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn, Iowa E230130 entity
Predicate hasName P744 FINISHED
Object Brooklyn, Iowa E230130 NE 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: Brooklyn, Iowa | Statement: [Brooklyn, Iowa, hasName, Brooklyn, Iowa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brooklyn, Iowa
Context triple: [Brooklyn, Iowa, hasName, Brooklyn, Iowa]
  • A. Brooklyn, Iowa chosen
    Brooklyn, Iowa is a small rural city in central Iowa known for its numerous flag displays and nickname "Community of Flags."
  • B. Bloomfield, Iowa
    Bloomfield, Iowa is a small city in Davis County known for its historic town square and role as a local agricultural and commercial center in southeastern Iowa.
  • C. Bedford, Iowa
    Bedford, Iowa is a small city that serves as the county seat of Taylor County in southwestern Iowa.
  • D. Brayton, Iowa
    Brayton, Iowa is a small rural city located in western Iowa that is part of the Audubon County community.
  • E. Brighton, Iowa
    Brighton, Iowa is a small rural city located in southeastern Iowa within Washington County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e695948190ab107fff38c57de7 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c5da5a081909d646c69d5de8e18 completed April 4, 2026, 5:37 p.m.
Created at: March 30, 2026, 8:01 p.m.