Triple
T32608783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honorary Doctorate of Engineering from Technische Hochschule Stuttgart |
E833596
|
entity |
| Predicate | degreeStatus |
P174645
|
FINISHED |
| Object | honorary |
—
|
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: honorary | Statement: [Honorary Doctorate of Engineering from Technische Hochschule Stuttgart, degreeStatus, honorary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeStatus Context triple: [Honorary Doctorate of Engineering from Technische Hochschule Stuttgart, degreeStatus, honorary]
-
A.
degreeOutcome
Indicates the academic qualification or result (such as a specific degree or classification) that is obtained as the outcome of a course of study or educational program.
-
B.
degreeCompletion
Indicates that an entity has successfully fulfilled all requirements to complete and obtain an academic degree.
-
C.
degreeGrantingStatus
Indicates whether an institution or program has the authority to confer formal academic degrees.
-
D.
degreeRecognition
Indicates that an academic degree is formally acknowledged or accepted as valid by a given authority or institution.
-
E.
academicStatus
Indicates the educational or scholarly standing or level an entity holds within an academic context.
- 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_69f3492bfa648190b6ae472074634e29 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c6c91a1c819097d51d2a159e223b |
completed | May 3, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2c138481908afa3ee3e91f8900 |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c2df27ec8190912ec8eb488836d0 |
completed | May 3, 2026, 3:37 a.m. |
Created at: May 1, 2026, 1:05 a.m.