Triple
T9043747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans van Heeswijk Architecten |
E216702
|
entity |
| Predicate | hasProfessionalDomain |
P86052
|
FINISHED |
| Object | architecture |
—
|
LITERAL FINISHED |
How this triple was built (2 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: architecture | Statement: [Hans van Heeswijk Architecten, hasProfessionalDomain, architecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProfessionalDomain Context triple: [Hans van Heeswijk Architecten, hasProfessionalDomain, architecture]
-
A.
hasProfessionalLink
Indicates a professional relationship or connection exists between the two entities, such as collaboration, affiliation, or work-related association.
-
B.
hasProfessionalStatus
Indicates that an entity holds a particular professional standing, rank, or qualification within a field or occupation.
-
C.
hasProfessionalSection
Indicates that an entity includes or is associated with a designated professional section, division, or category within its structure or content.
-
D.
hasEducationDomain
Indicates that an entity is associated with or operates within a specific educational domain or field of study.
-
E.
hasProfessionalCore
Indicates that an entity possesses a central set of professional skills, knowledge, or competencies that define its primary professional function or expertise.
- F. None of above. chosen
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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b137cec8190bd1b812c10d9542a |
completed | April 1, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee566b081909e3cdaf551dbd0ec |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f4f1cb48190a025d1b3d8d7a790 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:09 p.m.