Triple

T8750765
Position Surface form Disambiguated ID Type / Status
Subject Central Iowa E207951 entity
Predicate hasCity P316 FINISHED
Object Monroe, Iowa E413847 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: Monroe, Iowa | Statement: [Central Iowa, hasCity, Monroe, Iowa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monroe, Iowa
Context triple: [Central Iowa, hasCity, Monroe, Iowa]
  • A. City of Monroe, Iowa chosen
    The City of Monroe, Iowa, is a small rural community in central Iowa known for its close-knit atmosphere and agricultural surroundings.
  • B. Washington, Iowa
    Washington, Iowa is a small city in southeastern Iowa known for its historic downtown, agricultural surroundings, and role as a local commercial and cultural hub.
  • C. Hancock, Iowa
    Hancock, Iowa is a small rural city located in western Iowa within Pottawattamie County.
  • D. Montpelier, Iowa
    Montpelier, Iowa is a small unincorporated community located along the Mississippi River in eastern Iowa.
  • E. Mineola, Iowa
    Mineola, Iowa is a small unincorporated rural community located in southwestern Iowa.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da774f4819099e5bfd12973d946 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf431db5a88190a579b43370a8e887 completed April 3, 2026, 4:33 a.m.
Created at: March 30, 2026, 6:39 p.m.