Triple

T24927862
Position Surface form Disambiguated ID Type / Status
Subject Charles H. Wacker E618908 entity
Predicate associatedWithInfrastructure P2830 FINISHED
Object Wacker Drive, Chicago
Wacker Drive, Chicago is a major multi-level waterfront thoroughfare running along the Chicago River in downtown Chicago, known for its role in the city’s transportation network and urban design.
E624749 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: Wacker Drive, Chicago | Statement: [Charles H. Wacker, associatedWithInfrastructure, Wacker Drive, Chicago]
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: Wacker Drive, Chicago
Triple: [Charles H. Wacker, associatedWithInfrastructure, Wacker Drive, Chicago]
Generated description
Wacker Drive, Chicago is a major multi-level waterfront thoroughfare running along the Chicago River in downtown Chicago, known for its role in the city’s transportation network and urban design.

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_69e2fab9edd88190b86004a78a28bc20 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f423b1cb948190a24c984c2b15e2e5 completed May 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a103336beb481908d94222f97900caf completed May 22, 2026, 10:43 a.m.
NEDg Description generation batch_6a1033be69f88190988f54e89df5438a completed May 22, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_6a10346cdcac8190865eb3c1b86c9c2c completed May 22, 2026, 10:48 a.m.
Created at: April 18, 2026, 5:29 a.m.