Triple

T580610

Position	Surface form	Disambiguated ID	Type / Status
Subject	Binnenhof	`E15047`	entity
Predicate	originallyBuiltFor	`P11902`	FINISHED
Object	Counts of Holland	`E58770`	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: Counts of Holland | Statement: [Binnenhof, originallyBuiltFor, Counts of Holland]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Counts of Holland
Context triple: [Binnenhof, originallyBuiltFor, Counts of Holland]

A. States of Holland and West Friesland
The States of Holland and West Friesland was the provincial governing body of the County of Holland in the Dutch Republic, dominated by urban regents and playing a central role in the republic’s political and economic power.
B. County of Holland chosen
The County of Holland was a historically significant medieval and early modern county in the Low Countries that formed the political and economic core of what later became the Netherlands.
C. Drenthe, Netherlands
Drenthe, Netherlands is a rural northeastern Dutch province known for its prehistoric dolmen tombs, extensive nature reserves, and quiet agricultural landscapes.
D. Friesland
Friesland is a northern province of the Netherlands known for its distinct Frisian language, rich maritime history, and unique cultural traditions.
E. Zeeland
Zeeland is a coastal province in the southwest of the Netherlands, known for its islands, peninsulas, and extensive dike and flood defense systems.
F. None of above.
G. Unsure - the case is ambiguous/there is not enough information to decide.

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

Target predicate: originallyBuiltFor
Context triple: [Binnenhof, originallyBuiltFor, Counts of Holland]

A. isBuiltFor
Indicates that one entity is specifically designed, intended, or optimized to serve, support, or accommodate another entity or purpose.
B. originallyBuiltBy
Indicates that something was first constructed or created by a particular agent, organization, or entity.
C. isDesignedFor
Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of another entity.
D. originallyDevelopedFor chosen
Indicates that something was first created, designed, or produced with the primary purpose of serving a particular use, user group, context, or application.
E. builtOn
Indicates that one entity is constructed, developed, or established using another entity as its base, foundation, or underlying platform.
F. None of above.

Provenance (4 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_69a4935783b8819082b77726ec10cc42`	completed	March 1, 2026, 7:28 p.m.
NER	Named-entity recognition	`batch_69a49b82b5248190ac863407e8207a3b`	completed	March 1, 2026, 8:03 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69a501c1b8448190847197d984f211c3`	completed	March 2, 2026, 3:19 a.m.
PD	Predicate disambiguation	`batch_69a494c7f9008190bd8d05b4dc2a7c7f`	completed	March 1, 2026, 7:34 p.m.

Created at: March 1, 2026, 7:33 p.m.