Triple

T37434016

Position	Surface form	Disambiguated ID	Type / Status
Subject	The 606	`E930217`	entity
Predicate	followsFormerInfrastructure	`P14629`	FINISHED
Object	Bloomingdale Line The Bloomingdale Line is a former elevated rail line in Chicago that has been transformed into the multi-use recreational trail and park system now known as The 606.	`E2227032`	NE FINISHED

How this triple was built (3 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: Bloomingdale Line | Statement: [The 606, followsFormerInfrastructure, Bloomingdale Line]

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: Bloomingdale Line
Triple: [The 606, followsFormerInfrastructure, Bloomingdale Line]

Generated description

The Bloomingdale Line is a former elevated rail line in Chicago that has been transformed into the multi-use recreational trail and park system now known as The 606.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: followsFormerInfrastructure
Context triple: [The 606, followsFormerInfrastructure, Bloomingdale Line]

A. formerInfrastructure
Indicates that an entity once served as infrastructure for another entity or system but no longer holds that functional status.
B. formerTransportInfrastructure
Indicates that an entity was once used as transport infrastructure but no longer serves that function.
C. followsFormerRailroad chosen
Indicates that something is aligned with or traces the route of a former railroad line.
D. predecessorInfrastructureOwner
Indicates that one infrastructure owner previously held ownership or responsibility before another in a temporal succession.
E. usedInfrastructurePreviouslyOperatedBy
Indicates that an entity makes use of infrastructure that was formerly operated or managed by another entity.
F. None of above.

Provenance (6 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_69f76ebfdcb8819098562ff3db673b04`	completed	May 3, 2026, 3:50 p.m.
NER	Named-entity recognition	`batch_69ff70ecc1a481909571b18d56d982b8`	completed	May 9, 2026, 5:37 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a408255210081908cd1203765efa7b2`	completed	June 28, 2026, 2:09 a.m.
NEDg	Description generation	`batch_6a4082ee19408190894a33b840994de1`	completed	June 28, 2026, 2:11 a.m.
NED2	Entity disambiguation (via description)	`batch_6a40835a85a48190a6c838ee9d8231dc`	completed	June 28, 2026, 2:13 a.m.
PD	Predicate disambiguation	`batch_69ff70322a3c8190837840ea42cd3093`	completed	May 9, 2026, 5:34 p.m.

Created at: May 3, 2026, 4:17 p.m.