Triple
T2622743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Industrial Development of Poland |
E59044
|
entity |
| Predicate | degreeAwardedFor |
P6482
|
FINISHED |
| Object | doctorate in law |
—
|
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: doctorate in law | Statement: [The Industrial Development of Poland, degreeAwardedFor, doctorate in law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeAwardedFor Context triple: [The Industrial Development of Poland, degreeAwardedFor, doctorate in law]
-
A.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
-
B.
conferredIn
Indicates that something (such as a degree, title, or honor) was formally granted or awarded within a particular context, event, or institution.
-
C.
hasDegree
chosen
Indicates that an entity possesses or has been awarded a specific academic or professional degree.
-
D.
degreeGrantingStatus
Indicates whether an institution or program has the authority to confer formal academic degrees.
-
E.
graduatedWithHonors
Indicates that an entity completed an academic program with a distinction or honors-level achievement according to the institution’s criteria.
- F. None of above.
Provenance (3 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdaca581881908fe8d3d820f839b7 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd80f48888190afdf7e3e042157d0 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.