Triple

T35583565
Position Surface form Disambiguated ID Type / Status
Subject Aberdeen micropolitan area E1028286 entity
Predicate partOf P40 FINISHED
Object South Dakota micropolitan areas
South Dakota micropolitan areas are small urban regions within the state, each centered around a core city with a modest population and serving as local hubs for commerce, services, and employment outside the major metropolitan centers.
E2146544 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: South Dakota micropolitan areas | Statement: [Aberdeen micropolitan area, partOf, South Dakota micropolitan areas]
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: South Dakota micropolitan areas
Triple: [Aberdeen micropolitan area, partOf, South Dakota micropolitan areas]
Generated description
South Dakota micropolitan areas are small urban regions within the state, each centered around a core city with a modest population and serving as local hubs for commerce, services, and employment outside the major metropolitan centers.

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_69f76e0495a081909beced418558c0b4 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79e8571e4819093d0271b9d3c51b8 completed May 3, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38530afa488190b3fa42c9a8069c0e completed June 21, 2026, 9:09 p.m.
NEDg Description generation batch_6a385475674c8190866dd53e47dac3bd completed June 21, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_6a38552e7974819082b7ee16b00a21d0 completed June 21, 2026, 9:18 p.m.
Created at: May 3, 2026, 4:04 p.m.