Triple
T6510784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankfurt (Oder) |
E150125
|
entity |
| Predicate | originalUniversityFounded |
P26573
|
FINISHED |
| Object | 1506 |
—
|
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: 1506 | Statement: [Frankfurt (Oder), originalUniversityFounded, 1506]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalUniversityFounded Context triple: [Frankfurt (Oder), originalUniversityFounded, 1506]
-
A.
foundedAsUniversityIn
chosen
Indicates that an institution was originally established as a university in a specific year or time period.
-
B.
schoolFounded
Indicates that an educational institution was established or created at a specific time or by a particular founding entity.
-
C.
foundedWithInstitution
Indicates that an entity was established or created in conjunction with, or through the involvement of, a particular institution.
-
D.
hasHistoricUniversity
Indicates that an entity is associated with or contains a university of historical significance.
-
E.
oldestUniversityIn
Indicates that a university is the most ancient or earliest established institution of higher education within a specified geographic region 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3ad7d081909162f1a625fc52b1 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:43 p.m.