Triple

T23565207
Position Surface form Disambiguated ID Type / Status
Subject Williston, North Dakota E579351 entity
Predicate knownFor P22 FINISHED
Object Bakken oil boom
The Bakken oil boom was a rapid surge in oil production from the Bakken shale formation in the early 21st century that transformed parts of North Dakota and Montana economically, demographically, and environmentally.
E1593683 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: Bakken oil boom | Statement: [Williston, North Dakota, knownFor, Bakken oil boom]
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: Bakken oil boom
Triple: [Williston, North Dakota, knownFor, Bakken oil boom]
Generated description
The Bakken oil boom was a rapid surge in oil production from the Bakken shale formation in the early 21st century that transformed parts of North Dakota and Montana economically, demographically, and environmentally.

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_69e245fe24588190888f3aec8407d8e3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1af6c2930819090bc2b95725fbf18 completed April 29, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f456377f081908cbc14309e111526 completed May 21, 2026, 5:48 p.m.
NEDg Description generation batch_6a0f4650e36881909899a551725e6df4 completed May 21, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0f479575a48190a63dd376b8fec617 completed May 21, 2026, 5:57 p.m.
Created at: April 17, 2026, 6:34 p.m.