Triple

T23082321
Position Surface form Disambiguated ID Type / Status
Subject Indiana State Road 39 E575507 entity
Predicate passesNear P416 FINISHED
Object Monticello, Indiana NE NERFINISHED

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: Monticello, Indiana | Statement: [Indiana State Road 39, passesNear, Monticello, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monticello, Indiana
Context triple: [Indiana State Road 39, passesNear, Monticello, Indiana]
  • A. Monticello, Indiana chosen
    Monticello, Indiana is a small city in White County known for its location near lakes and rivers that support recreation and tourism in north-central Indiana.
  • B. Mount Vernon, Indiana
    Mount Vernon, Indiana is a small city in southwestern Indiana that serves as a principal community in the Illinois–Indiana–Kentucky tri-state region along the Ohio River.
  • C. Monroe, Indiana
    Monroe, Indiana is a small town located in Adams County in the northeastern part of the U.S. state of Indiana.
  • D. Versailles, Indiana
    Versailles, Indiana is a small historic town in Ripley County known as the gateway to Versailles State Park in southeastern Indiana.
  • E. Medaryville, Indiana
    Medaryville, Indiana is a small rural town in northwestern Indiana 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 (2 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da239e48190ad041261c6b510a0 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:56 p.m.