Triple

T29110545

Position	Surface form	Disambiguated ID	Type / Status
Subject	Broadway (Downtown Los Angeles) corridor	`E736887`	entity
Predicate	hasCityProgram	`P176734`	FINISHED
Object	Bringing Back Broadway initiative The Bringing Back Broadway initiative is a revitalization program aimed at restoring and activating Downtown Los Angeles’ historic Broadway corridor as a vibrant cultural, commercial, and entertainment district.	`E1850006`	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: Bringing Back Broadway initiative | Statement: [Broadway (Downtown Los Angeles) corridor, hasCityProgram, Bringing Back Broadway initiative]

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: Bringing Back Broadway initiative
Triple: [Broadway (Downtown Los Angeles) corridor, hasCityProgram, Bringing Back Broadway initiative]

Generated description

The Bringing Back Broadway initiative is a revitalization program aimed at restoring and activating Downtown Los Angeles’ historic Broadway corridor as a vibrant cultural, commercial, and entertainment district.

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

Target predicate: hasCityProgram
Context triple: [Broadway (Downtown Los Angeles) corridor, hasCityProgram, Bringing Back Broadway initiative]

A. hasRegionalProgram
Indicates that an entity operates, offers, or is associated with a program that is specific to a particular geographic region.
B. hasVolunteerProgram
Indicates that an organization or entity offers an organized program through which individuals can volunteer their time or services.
C. hasYouthProgram
Indicates that an entity offers or is associated with an organized program or set of activities specifically designed for young people.
D. hasPlannedCity
Indicates that an entity has a city that was deliberately designed and constructed according to a prearranged plan.
E. hasHomeProgram
Indicates that an entity is associated with or belongs to a primary or designated home program.
F. None of above. chosen

Provenance (7 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_69f077ec765c81909474c88bcc8bab43`	completed	April 28, 2026, 9:03 a.m.
NER	Named-entity recognition	`batch_69f6e6029a10819098ff21f58079e70e`	completed	May 3, 2026, 6:06 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2537c36e5881909b2c42d92c86dbcc`	completed	June 7, 2026, 9:20 a.m.
NEDg	Description generation	`batch_6a253c0a7d50819093cb8a95d0cfeb5d`	completed	June 7, 2026, 9:38 a.m.
NED2	Entity disambiguation (via description)	`batch_6a253fe575c48190834250931b48111c`	completed	June 7, 2026, 9:54 a.m.
PD	Predicate disambiguation	`batch_69f6e3d5e8188190b1e1c2e5d1b77031`	completed	May 3, 2026, 5:57 a.m.
PDg	Predicate description generation	`batch_69f6e60109648190947a64ca4ce81a3a`	completed	May 3, 2026, 6:06 a.m.

Created at: April 28, 2026, 11:18 a.m.