Triple

T29324131
Position Surface form Disambiguated ID Type / Status
Subject Lake Sakakawea State Park E743595 entity
Predicate nearestCity P350 FINISHED
Object Pick City, North Dakota
Pick City, North Dakota is a small town in central North Dakota located near the Garrison Dam and Lake Sakakawea, serving as a gateway to outdoor recreation in the area.
E1861040 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: Pick City, North Dakota | Statement: [Lake Sakakawea State Park, nearestCity, Pick City, North Dakota]
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: Pick City, North Dakota
Triple: [Lake Sakakawea State Park, nearestCity, Pick City, North Dakota]
Generated description
Pick City, North Dakota is a small town in central North Dakota located near the Garrison Dam and Lake Sakakawea, serving as a gateway to outdoor recreation in the area.

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_69f09125f784819080f4e9fce9fe624f completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f66894ce4c8190b1104ea889b98a8e completed May 2, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25a87445388190841a05393959b777 completed June 7, 2026, 5:20 p.m.
NEDg Description generation batch_6a25ac6034a081909518662153fbe1b3 completed June 7, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_6a25b1426d488190b7d2a0546ab29f59 completed June 7, 2026, 5:58 p.m.
Created at: April 28, 2026, 1:25 p.m.