Triple

T20541822
Position Surface form Disambiguated ID Type / Status
Subject La Paz, Indiana E504356 entity
Predicate hasName P744 FINISHED
Object La Paz
La Paz is a small town in Marshall County, Indiana, known for its rural Midwestern character and tight-knit community.
 E1436794 NE FINISHED

How this triple was built (4 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 | Statement: [La Paz, Indiana, hasName, La Paz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Paz
Context triple: [La Paz, Indiana, hasName, La Paz]
  • A. La Paz
    La Paz is a municipality in the province of Tarlac in the Philippines, known for its agricultural economy and role as a local commercial center.
  • B. La Paz
    La Paz is a city in northeastern Argentina known for its location on the Paraná River and its role as a regional center in Entre Ríos Province.
  • C. La Paz
    La Paz is a barangay (village-level administrative division) in the municipality of San Narciso in the province of Zambales, Philippines.
  • D. La Paz
    La Paz is a rural municipality in the province of Leyte in the Philippines, known for its agricultural communities and small-town setting.
  • E. La Paz
    La Paz is the administrative capital and one of the major cities of Bolivia, known for its dramatic setting in a deep valley of the Andes at one of the highest elevations of any capital city in the world.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: La Paz
Triple: [La Paz, Indiana, hasName, La Paz]
Generated description
La Paz is a small town in Marshall County, Indiana, known for its rural Midwestern character and tight-knit community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Paz
Target entity description: La Paz is a small town in Marshall County, Indiana, known for its rural Midwestern character and tight-knit community.
  • A. La Paz
    La Paz is a rural municipality in the province of Leyte in the Philippines, known for its agricultural communities and small-town setting.
  • B. La Paz
    La Paz is a municipality in the province of Tarlac in the Philippines, known for its agricultural economy and role as a local commercial center.
  • C. La Paz
    La Paz is a city in northeastern Argentina known for its location on the Paraná River and its role as a regional center in Entre Ríos Province.
  • D. La Paz
    La Paz is a municipality in the State of Mexico that forms part of the greater Mexico City metropolitan area.
  • E. La Paz
    La Paz is a barangay (village-level administrative division) in the municipality of San Narciso in the province of Zambales, Philippines.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_6a08a6439bc08190a2df7f1f7b24fadb completed May 16, 2026, 5:15 p.m.
NED2 Entity disambiguation (via description) batch_6a08a70118dc8190bdf07bcc3342340e completed May 16, 2026, 5:18 p.m.
Created at: April 16, 2026, 11:37 a.m.