Triple

T2944236
Position Surface form Disambiguated ID Type / Status
Subject Central Washington E79461 entity
Predicate majorCity P316 FINISHED
Object Pasco
Pasco is a city in southeastern Washington State that forms part of the Tri-Cities region along with Kennewick and Richland.
 E311812 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: Pasco | Statement: [Central Washington, majorCity, Pasco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pasco
Context triple: [Central Washington, majorCity, Pasco]
  • A. Lakeland
    Lakeland is a residential neighborhood located within the city of College Park in Prince George's County, Maryland.
  • B. Bradenton
    Bradenton is a city on Florida’s Gulf Coast known for its waterfront location along the Manatee River and proximity to popular beaches and the Sarasota–Bradenton metropolitan area.
  • C. Pasco Region
    Pasco Region is an inland administrative region of central Peru known for its Andean highlands, mining activities, and diverse ecosystems ranging from mountains to cloud forests.
  • D. Ocala
    Ocala is a city in north-central Florida known for its thoroughbred horse farms and historic downtown.
  • E. Hernando
    Hernando is the Spanish form of the given name Ferdinand, historically borne by several notable figures including explorers and monarchs.
  • 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: Pasco
Triple: [Central Washington, majorCity, Pasco]
Generated description
Pasco is a city in southeastern Washington State that forms part of the Tri-Cities region along with Kennewick and Richland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pasco
Target entity description: Pasco is a city in southeastern Washington State that forms part of the Tri-Cities region along with Kennewick and Richland.
  • A. Lakeland
    Lakeland is a residential neighborhood located within the city of College Park in Prince George's County, Maryland.
  • B. Bradenton
    Bradenton is a city on Florida’s Gulf Coast known for its waterfront location along the Manatee River and proximity to popular beaches and the Sarasota–Bradenton metropolitan area.
  • C. Pasco Region
    Pasco Region is an inland administrative region of central Peru known for its Andean highlands, mining activities, and diverse ecosystems ranging from mountains to cloud forests.
  • D. Ocala
    Ocala is a city in north-central Florida known for its thoroughbred horse farms and historic downtown.
  • E. Hernando
    Hernando is the Spanish form of the given name Ferdinand, historically borne by several notable figures including explorers and monarchs.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b0db5081908e84def20a5e4a2d completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0868d754c8190b075ca0fd902814a completed March 10, 2026, 9:01 p.m.
NEDg Description generation batch_69b0dd08d390819089c241122db5deed completed March 11, 2026, 3:10 a.m.
NED2 Entity disambiguation (via description) batch_69b0dd9857a8819092785308e67ba66f completed March 11, 2026, 3:12 a.m.
Created at: March 8, 2026, 2:56 p.m.