Triple

T37792745

Position	Surface form	Disambiguated ID	Type / Status
Subject	Brownfields Amendments of 2002	`E942126`	entity
Predicate	createsOrExpandsProgram	`P51678`	FINISHED
Object	EPA brownfields assessment grants EPA brownfields assessment grants are federal funding awards that help communities identify, evaluate, and plan the cleanup and reuse of potentially contaminated properties.	`E2243953`	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: EPA brownfields assessment grants | Statement: [Brownfields Amendments of 2002, createsOrExpandsProgram, EPA brownfields assessment grants]

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: EPA brownfields assessment grants
Triple: [Brownfields Amendments of 2002, createsOrExpandsProgram, EPA brownfields assessment grants]

Generated description

EPA brownfields assessment grants are federal funding awards that help communities identify, evaluate, and plan the cleanup and reuse of potentially contaminated properties.

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

Target predicate: createsOrExpandsProgram
Context triple: [Brownfields Amendments of 2002, createsOrExpandsProgram, EPA brownfields assessment grants]

A. createdProgram
Indicates that an entity authored, developed, or produced a particular program (such as software or a coded application).
B. extendsProgramsOf chosen
Indicates that one program builds upon, enhances, or broadens the scope of another program’s content, features, or capabilities.
C. extendsProgramsFrom
Indicates that one program is derived, expanded, or built upon the functionality or structure of another program.
D. implementsProgram
Indicates that an entity carries out, executes, or puts into effect a specified program or plan.
E. programLaunch
Indicates the initiation or start of a software program or application.
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_69f76ee6f1f4819091e2cf9c9e6aee19`	completed	May 3, 2026, 3:51 p.m.
NER	Named-entity recognition	`batch_69fff9b126b4819085a4cf8791d388d1`	completed	May 10, 2026, 3:21 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a40f18446f4819080023f59e010120e`	completed	June 28, 2026, 10:03 a.m.
NEDg	Description generation	`batch_6a40f2bb3edc81908cec16b5cbe9c532`	completed	June 28, 2026, 10:08 a.m.
NED2	Entity disambiguation (via description)	`batch_6a40f36dccfc81909a9d4c1f171adc98`	completed	June 28, 2026, 10:11 a.m.
PD	Predicate disambiguation	`batch_69fff8f913a881908d3b7e490d92631f`	completed	May 10, 2026, 3:18 a.m.

Created at: May 3, 2026, 4:19 p.m.