Triple

T20541823
Position Surface form Disambiguated ID Type / Status
Subject La Paz, Indiana E504356 entity
Predicate hasOfficialName P66 FINISHED
Object La Paz, Indiana E504356 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: La Paz, Indiana | Statement: [La Paz, Indiana, hasOfficialName, La Paz, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Paz, Indiana
Context triple: [La Paz, Indiana, hasOfficialName, La Paz, Indiana]
  • A. La Paz, Indiana chosen
    La Paz, Indiana is a small Midwestern town located in northern Indiana within Marshall County.
  • B. Pendleton, Indiana
    Pendleton, Indiana is a small town in Madison County known for its historic downtown, Falls Park, and role as a gateway community between Indianapolis and east-central Indiana.
  • C. Pawnee, Indiana
    Pawnee, Indiana is the fictional Midwestern town that serves as the primary setting for the television comedy series "Parks and Recreation."
  • D. Montpelier, Indiana
    Montpelier, Indiana is a small city in Blackford County known historically as the birthplace of Francis Avent Gumm, the father of actress Judy Garland.
  • E. Petersburg, Indiana
    Petersburg, Indiana is a small city in southwestern Indiana that serves as the administrative and commercial center of Pike 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a292dd1c8190b5c3031f3b44eb52 completed April 20, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a56b9b3081908786edd7c6867c98 completed May 16, 2026, 5:12 p.m.
Created at: April 16, 2026, 11:37 a.m.