Triple

T35649707
Position Surface form Disambiguated ID Type / Status
Subject 1911 Chicago mayoral election E1030109 entity
Predicate previousElection P97 FINISHED
Object 1909 Chicago mayoral election
The 1909 Chicago mayoral election was a municipal contest in which voters chose the city's mayor during the early 20th century, amid a period of rapid urban growth and political machine influence.
E2150735 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: 1909 Chicago mayoral election | Statement: [1911 Chicago mayoral election, previousElection, 1909 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: 1909 Chicago mayoral election
Triple: [1911 Chicago mayoral election, previousElection, 1909 Chicago mayoral election]
Generated description
The 1909 Chicago mayoral election was a municipal contest in which voters chose the city's mayor during the early 20th century, amid a period of rapid urban growth and political machine influence.

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_69f76e0938088190a8f199631e97dec3 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79f7340e4819092a1a47f7028e63f completed May 3, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38727d95248190b37b13aaa655be95 completed June 21, 2026, 11:23 p.m.
NEDg Description generation batch_6a38731e9da88190b4e9158b234e20da completed June 21, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_6a387377a850819080349b2f0c461bc6 completed June 21, 2026, 11:27 p.m.
Created at: May 3, 2026, 4:05 p.m.