Triple

T23950428

Position	Surface form	Disambiguated ID	Type / Status
Subject	Palace of the Royal Danish Academy of Sciences and Letters	`E603030`	entity
Predicate	hasPrimaryOccupantType	`P21135`	FINISHED
Object	national academy of sciences A national academy of sciences is a country’s leading scientific institution that promotes research, provides expert advice to government and society, and represents the nation’s scientific community at home and abroad.	`E1609850`	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: national academy of sciences | Statement: [Palace of the Royal Danish Academy of Sciences and Letters, hasPrimaryOccupantType, national academy of sciences]

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: national academy of sciences
Triple: [Palace of the Royal Danish Academy of Sciences and Letters, hasPrimaryOccupantType, national academy of sciences]

Generated description

A national academy of sciences is a country’s leading scientific institution that promotes research, provides expert advice to government and society, and represents the nation’s scientific community at home and abroad.

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

Target predicate: hasPrimaryOccupantType
Context triple: [Palace of the Royal Danish Academy of Sciences and Letters, hasPrimaryOccupantType, national academy of sciences]

A. hasPrimaryOccupants chosen
Indicates that certain entities are the main or principal occupants of another entity (such as a space, structure, or location).
B. hasPrimarySeat
Indicates that one entity is designated as the main or principal seat, location, or position associated with another entity.
C. hasPrimaryDriver
Indicates that an entity is designated as the main or principal driver responsible for operating another entity, typically a vehicle.
D. hasPrimary
Indicates that one entity is designated as the main or most important instance (the primary) in relation to another entity.
E. hasOccupantStatus
Indicates that an entity holds a particular role, status, or condition as an occupant of another entity (such as a place, vehicle, or property).
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_69e2953e4924819093f1c24c03476b42`	completed	April 17, 2026, 8:17 p.m.
NER	Named-entity recognition	`batch_69f1d03140f08190b4356626628ff56f`	completed	April 29, 2026, 9:32 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0f765369908190b92e22095f9a3032`	completed	May 21, 2026, 9:17 p.m.
NEDg	Description generation	`batch_6a0f770a063c81909f356346c9c521ad`	completed	May 21, 2026, 9:20 p.m.
NED2	Entity disambiguation (via description)	`batch_6a0f782b47c08190a221c196ddc9d566`	completed	May 21, 2026, 9:24 p.m.
PD	Predicate disambiguation	`batch_69f1615518088190a206f54e2fdb14a3`	completed	April 29, 2026, 1:39 a.m.

Created at: April 17, 2026, 9:19 p.m.