Triple

T13848907
Position Surface form Disambiguated ID Type / Status
Subject Pennington County, South Dakota E332881 entity
Predicate contains P35 FINISHED
Object Wasta, South Dakota
Wasta, South Dakota is a small rural town located in western South Dakota within the Black Hills region.
 E1162933 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: Wasta, South Dakota | Statement: [Pennington County, South Dakota, contains, Wasta, South Dakota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wasta, South Dakota
Context triple: [Pennington County, South Dakota, contains, Wasta, South Dakota]
  • A. Warner, South Dakota
    Warner, South Dakota is a small rural town located in northeastern South Dakota within Brown County.
  • B. Wallace, South Dakota
    Wallace, South Dakota is a small rural town in Codington County best known as the birthplace of former U.S. Vice President Hubert H. Humphrey.
  • C. Wanblee, South Dakota
    Wanblee, South Dakota is a small, predominantly Lakota community in Jackson County located on the Pine Ridge Indian Reservation.
  • D. Turton, South Dakota
    Turton, South Dakota is a small rural town located in northeastern South Dakota within Spink County.
  • E. Wagner, South Dakota
    Wagner, South Dakota is a small city in Charles Mix County known as a local service and trade center in southeastern South Dakota.
  • 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: Wasta, South Dakota
Triple: [Pennington County, South Dakota, contains, Wasta, South Dakota]
Generated description
Wasta, South Dakota is a small rural town located in western South Dakota within the Black Hills region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wasta, South Dakota
Target entity description: Wasta, South Dakota is a small rural town located in western South Dakota within the Black Hills region.
  • A. Warner, South Dakota
    Warner, South Dakota is a small rural town located in northeastern South Dakota within Brown County.
  • B. Wallace, South Dakota
    Wallace, South Dakota is a small rural town in Codington County best known as the birthplace of former U.S. Vice President Hubert H. Humphrey.
  • C. Wanblee, South Dakota
    Wanblee, South Dakota is a small, predominantly Lakota community in Jackson County located on the Pine Ridge Indian Reservation.
  • D. Turton, South Dakota
    Turton, South Dakota is a small rural town located in northeastern South Dakota within Spink County.
  • E. Wagner, South Dakota
    Wagner, South Dakota is a small city in Charles Mix County known as a local service and trade center in southeastern South Dakota.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b2a9788190b164760adec64ef6 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff453c189c8190ac73204b7ac68dda completed May 9, 2026, 2:31 p.m.
NEDg Description generation batch_69ff46341e148190a8ad921b7df7c191 completed May 9, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69ff46bdcef48190b23b1ec5e8ac3c2b completed May 9, 2026, 2:37 p.m.
Created at: April 9, 2026, 10:14 p.m.