Triple

T428231
Position Surface form Disambiguated ID Type / Status
Subject Pella Corporation E9656 entity
Predicate headquartersLocation P62 FINISHED
Object Pella, Iowa E1704 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: Pella, Iowa | Statement: [Pella Corporation, headquartersLocation, Pella, Iowa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pella, Iowa
Context triple: [Pella Corporation, headquartersLocation, Pella, Iowa]
  • A. Pella, Iowa chosen
    Pella, Iowa is a small Midwestern city renowned for its strong Dutch heritage, traditional architecture, and annual tulip festival.
  • B. McClelland, Iowa
    McClelland, Iowa is a small rural community located in Pottawattamie County in the western part of the state.
  • C. Hancock, Iowa
    Hancock, Iowa is a small rural city located in western Iowa within Pottawattamie County.
  • D. Neola, Iowa
    Neola, Iowa is a small rural city in western Iowa known for its agricultural community and location within Pottawattamie County.
  • E. Lowden, Iowa
    Lowden, Iowa is a small rural city in eastern Iowa known for its agricultural surroundings and tight-knit community.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eeecb64c81908c5c83ef7c0181e6 completed Feb. 28, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a477785b848190a1a09d20d94ceed5 completed March 1, 2026, 5:29 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.