Triple

T24769013

Position	Surface form	Disambiguated ID	Type / Status
Subject	Transylvania Company	`E619667`	entity
Predicate	compensatedBy	`P26699`	FINISHED
Object	Virginia Virginia is a U.S. state on the Atlantic coast, historically significant as one of the original Thirteen Colonies and a central player in early American colonial expansion and governance.	`E5410`	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: Virginia | Statement: [Transylvania Company, compensatedBy, Virginia]

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: Virginia
Triple: [Transylvania Company, compensatedBy, Virginia]

Generated description

Virginia is a U.S. state on the Atlantic coast, historically significant as one of the original Thirteen Colonies and a central player in early American colonial expansion and governance.

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

Target predicate: compensatedBy
Context triple: [Transylvania Company, compensatedBy, Virginia]

A. compensated chosen
Indicates that one entity provides payment or some form of recompense to another entity in return for goods, services, or loss incurred.
B. compensatoryType
Indicates the specific category or nature of compensation associated with an action, obligation, or remedy in the relationship.
C. compensationSetBy
Indicates that one party determines or establishes the compensation or pay level for another party.
D. compensationReason
Indicates the reason or cause for which compensation is granted, requested, or applied between entities.
E. compensationTrigger
Indicates the event or condition that initiates or authorizes a compensation or payment to be made.
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_69e2fabd04488190a2d13c97be745a2d`	completed	April 18, 2026, 3:30 a.m.
NER	Named-entity recognition	`batch_69f42d9000b8819081ea2605f3c193d6`	completed	May 1, 2026, 4:35 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a104882d9e88190afc2212fb54d0b73`	completed	May 22, 2026, 12:13 p.m.
NEDg	Description generation	`batch_6a10496ad0748190b797fea89fc9472d`	completed	May 22, 2026, 12:17 p.m.
NED2	Entity disambiguation (via description)	`batch_6a104bc667e48190bb0feadc5b324cde`	completed	May 22, 2026, 12:27 p.m.
PD	Predicate disambiguation	`batch_69f420f471a0819095a6cd24ed8f7476`	completed	May 1, 2026, 3:41 a.m.

Created at: April 18, 2026, 4:29 a.m.