Triple

T35431845
Position Surface form Disambiguated ID Type / Status
Subject 1897 Chicago mayoral election E1024082 entity
Predicate follows P134 FINISHED
Object 1895 Chicago mayoral election
The 1895 Chicago mayoral election was a municipal contest in which voters chose the city's mayor during the late 19th century, reflecting the era's intense urban political and party rivalries.
E2140282 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: 1895 Chicago mayoral election | Statement: [1897 Chicago mayoral election, follows, 1895 Chicago mayoral election]
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: 1895 Chicago mayoral election
Triple: [1897 Chicago mayoral election, follows, 1895 Chicago mayoral election]
Generated description
The 1895 Chicago mayoral election was a municipal contest in which voters chose the city's mayor during the late 19th century, reflecting the era's intense urban political and party rivalries.

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_69f76df743c48190aecb6dd79efb0d95 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f795b7148081908a26ea525831db40 completed May 3, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3836bcde308190b5ab6438f2e65445 completed June 21, 2026, 7:08 p.m.
NEDg Description generation batch_6a383817ee348190af59b2a3b11cf608 completed June 21, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_6a383916e7ec81909b37a77bd6b0e2ed completed June 21, 2026, 7:18 p.m.
Created at: May 3, 2026, 4:03 p.m.