Triple

T14379160
Position Surface form Disambiguated ID Type / Status
Subject Pennington County E356554 entity
Predicate hasSettlement P1068 FINISHED
Object Wasta
Wasta is a small rural town in Pennington County, South Dakota, known for its location along the Cheyenne River and proximity to Badlands National Park.
 E1096046 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 | Statement: [Pennington County, hasSettlement, Wasta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wasta
Context triple: [Pennington County, hasSettlement, Wasta]
  • A. Waase
    Waase is a small village on the island of Ummanz in the German state of Mecklenburg-Vorpommern.
  • B. Nujaba
    Nujaba refers to a spiritual rank or class of saints in Islamic mysticism, regarded as righteous and divinely aided individuals of high but not supreme spiritual status.
  • C. Opata
    Opata refers to an Indigenous people and their now largely extinct Uto-Aztecan language historically spoken in northern Mexico, particularly in the present-day state of Sonora.
  • D. Warud
    Warud is a town in Maharashtra, India, known for its orange production and location within the Amravati district.
  • E. Sabetta
    Sabetta is a remote port settlement on the Yamal Peninsula in Arctic Russia, known primarily as a key hub for liquefied natural gas (LNG) exports from the Yamal LNG project.
  • 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
Triple: [Pennington County, hasSettlement, Wasta]
Generated description
Wasta is a small rural town in Pennington County, South Dakota, known for its location along the Cheyenne River and proximity to Badlands National Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wasta
Target entity description: Wasta is a small rural town in Pennington County, South Dakota, known for its location along the Cheyenne River and proximity to Badlands National Park.
  • A. Waase
    Waase is a small village on the island of Ummanz in the German state of Mecklenburg-Vorpommern.
  • B. Nujaba
    Nujaba refers to a spiritual rank or class of saints in Islamic mysticism, regarded as righteous and divinely aided individuals of high but not supreme spiritual status.
  • C. Opata
    Opata refers to an Indigenous people and their now largely extinct Uto-Aztecan language historically spoken in northern Mexico, particularly in the present-day state of Sonora.
  • D. Warud
    Warud is a town in Maharashtra, India, known for its orange production and location within the Amravati district.
  • E. Sabetta
    Sabetta is a remote port settlement on the Yamal Peninsula in Arctic Russia, known primarily as a key hub for liquefied natural gas (LNG) exports from the Yamal LNG project.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900a67e08190ab1dcf36e6bb3405 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c590660819090652e75418f2747 completed May 8, 2026, 2:37 a.m.
NEDg Description generation batch_69fd4e4bae188190a8d1c5b833d58cd8 completed May 8, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69fd4f5782b4819081d32dbef032ac61 completed May 8, 2026, 2:49 a.m.
Created at: April 10, 2026, 1:16 a.m.