Triple

T16905510
Position Surface form Disambiguated ID Type / Status
Subject served by U.S. Route 56 E424550 entity
Predicate hasAccessTo P1017 FINISHED
Object Mission, Kansas E95387 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: Mission, Kansas | Statement: [served by U.S. Route 56, hasAccessTo, Mission, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mission, Kansas
Context triple: [served by U.S. Route 56, hasAccessTo, Mission, Kansas]
  • A. Mission, Kansas chosen
    Mission, Kansas is a small suburban city in Johnson County that forms part of the Kansas City metropolitan area.
  • B. Merriam, Kansas
    Merriam, Kansas is a small suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
  • C. Lewis, Kansas
    Lewis, Kansas is a small rural city located in Edwards County in south-central Kansas, United States.
  • D. Park, Kansas
    Park, Kansas is a small rural city located in Gove County in western Kansas, known for its agricultural surroundings and tight-knit community.
  • E. Seneca, Kansas
    Seneca, Kansas is a small city in northeastern Kansas that serves as a local commercial and community hub for the surrounding rural region.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3ca392ff48190ab28f0bd3e9fc376 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfcedb58819087c31200c01f40b7 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:30 a.m.