Triple
T17289969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberon Microsystems |
E419757
|
entity |
| Predicate | academicRoots |
P126829
|
FINISHED |
| Object | ETH Zurich Oberon project |
—
|
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: ETH Zurich Oberon project | Statement: [Oberon Microsystems, academicRoots, ETH Zurich Oberon project]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academicRoots Context triple: [Oberon Microsystems, academicRoots, ETH Zurich Oberon project]
-
A.
researchBaseOf
Indicates that one entity serves as the primary location, facility, or site from which another entity conducts or supports its research activities.
-
B.
academicFocus
Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
-
C.
academicBody
Indicates a formal organizational relationship in which an entity functions as an academic institution or governing academic unit associated with another entity.
-
D.
academicReputation
Indicates the perceived quality and standing of an entity within the academic community, based on factors like scholarly impact, prestige, and recognition.
-
E.
associatedScholar
Indicates a relationship where a scholar is linked or connected to another entity (such as a work, institution, or concept) through relevant academic or intellectual involvement.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43782b7ac8190b702567e9ccf9a35 |
completed | April 19, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:40 a.m.