Triple
T24382338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albertov |
E614643
|
entity |
| Predicate | hasAcademicTraditionSince |
P57701
|
FINISHED |
| Object | early 20th century |
—
|
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: early 20th century | Statement: [Albertov, hasAcademicTraditionSince, early 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicTraditionSince Context triple: [Albertov, hasAcademicTraditionSince, early 20th century]
-
A.
hasHistoricUniversity
Indicates that an entity is associated with or contains a university of historical significance.
-
B.
hasEducationalHeritage
chosen
Indicates a relationship where an entity inherits or is influenced by another entity’s educational background, traditions, or institutional lineage.
-
C.
isAmongOldestUniversitiesIn
Indicates that an educational institution ranks among the oldest universities within a specified geographic or organizational context.
-
D.
universityFoundedAs
Indicates the original form, name, or type under which a university was first established.
-
E.
hasAcademicDivisionNamedAfter
Indicates that an academic division (such as a school, college, or department) is named in honor of a particular person or entity.
- 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_69e2d7e362e481909e32fe4ef8269d4f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293dcd50c8190b242f68198343caa |
completed | April 29, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:03 a.m.