Triple

T27679417
Position Surface form Disambiguated ID Type / Status
Subject Credit Mobilier scandal E697867 entity
Predicate hasPart P35 FINISHED
Object House investigation of 1872–1873
The House investigation of 1872–1873 was a U.S. congressional inquiry that exposed widespread bribery and corruption among federal officials connected to the Crédit Mobilier railroad construction scheme.
 E1784921 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: House investigation of 1872–1873 | Statement: [Credit Mobilier scandal, hasPart, House investigation of 1872–1873]
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: House investigation of 1872–1873
Triple: [Credit Mobilier scandal, hasPart, House investigation of 1872–1873]
Generated description
The House investigation of 1872–1873 was a U.S. congressional inquiry that exposed widespread bribery and corruption among federal officials connected to the Crédit Mobilier railroad construction scheme.

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_69ef590d458c81909583290c3cd0478b completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f6353654188190915266b42fb1885a completed May 2, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12daabf61081908ce11ec2c6816deb completed May 24, 2026, 11:02 a.m.
NEDg Description generation batch_6a12de8086248190bb53e2b9d526e5e8 completed May 24, 2026, 11:18 a.m.
NED2 Entity disambiguation (via description) batch_6a12dee961508190bf952dc985a4e377 completed May 24, 2026, 11:20 a.m.
Created at: April 27, 2026, 2:45 p.m.