Triple

T28738353
Position Surface form Disambiguated ID Type / Status
Subject United States anti–money laundering regulations E730863 entity
Predicate enforcedBy P1115 FINISHED
Object Department of Justice
The Department of Justice is the U.S. federal executive department responsible for enforcing federal law, prosecuting crimes, and representing the United States in legal matters.
E1637382 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: Department of Justice | Statement: [United States anti–money laundering regulations, enforcedBy, Department of Justice]
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: Department of Justice
Triple: [United States anti–money laundering regulations, enforcedBy, Department of Justice]
Generated description
The Department of Justice is the U.S. federal executive department responsible for enforcing federal law, prosecuting crimes, and representing the United States in legal matters.

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_69f043eae0908190b28ce314686247d7 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f6576d1f18819099ee8d00516ff93f completed May 2, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf68f8c08190938e6a08f628135d completed June 1, 2026, 12:16 a.m.
NEDg Description generation batch_6a1cd02268a88190b51b5602e6916d3e completed June 1, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_6a2494722c7c8190b67b87014e4a2f0a completed June 6, 2026, 9:43 p.m.
Created at: April 28, 2026, 6:01 a.m.