Triple

T35600869

Position	Surface form	Disambiguated ID	Type / Status
Subject	Fraunhofer Group for Microelectronics	`E1028757`	entity
Predicate	hasMemberInstitute	`P3814`	FINISHED
Object	Fraunhofer IZM Fraunhofer IZM is a German research institute specializing in advanced electronic packaging, system integration, and reliability for microelectronics and microsystems.	`E2150389`	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: Fraunhofer IZM | Statement: [Fraunhofer Group for Microelectronics, hasMemberInstitute, Fraunhofer IZM]

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: Fraunhofer IZM
Triple: [Fraunhofer Group for Microelectronics, hasMemberInstitute, Fraunhofer IZM]

Generated description

Fraunhofer IZM is a German research institute specializing in advanced electronic packaging, system integration, and reliability for microelectronics and microsystems.

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

Target predicate: hasMemberInstitute
Context triple: [Fraunhofer Group for Microelectronics, hasMemberInstitute, Fraunhofer IZM]

A. hasMemberSociety
Indicates that an organization or group includes a specific society as one of its constituent members.
B. hasInstitutionalHome
Indicates that an entity is formally based in, hosted by, or affiliated with a particular institution as its organizational home.
C. includesInstitution chosen
Indicates that one entity contains, encompasses, or has as a member a particular institution.
D. hasInstitutions
Indicates that one entity possesses, contains, or is associated with one or more institutions.
E. hasMemberOrganizationsIn
Indicates that an entity includes or comprises member organizations that are located in or associated with a specified place or region.
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_69f76e0598dc8190a6a093e904b9aa70`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_69ff397e19a88190a945b826159f5290`	completed	May 9, 2026, 1:41 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3868449a5c8190881b0b9bf182d299`	completed	June 21, 2026, 10:40 p.m.
NEDg	Description generation	`batch_6a386957440c8190bd915a724bbb08ac`	completed	June 21, 2026, 10:44 p.m.
NED2	Entity disambiguation (via description)	`batch_6a386d862ec88190b40655d39c07c623`	completed	June 21, 2026, 11:02 p.m.
PD	Predicate disambiguation	`batch_69ff392400d0819088d30d08d4a774bd`	completed	May 9, 2026, 1:39 p.m.

Created at: May 3, 2026, 4:05 p.m.