Triple
T225813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humboldt University of Berlin |
E4311
|
entity |
| Predicate | rectorTitle |
P3342
|
FINISHED |
| Object | President |
—
|
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: President | Statement: [Humboldt University of Berlin, rectorTitle, President]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rectorTitle Context triple: [Humboldt University of Berlin, rectorTitle, President]
-
A.
deputyExecutiveHeadTitle
Indicates the official job title held by a person serving as the deputy to an organization's executive head.
-
B.
religiousTitle
Indicates that one entity holds or is referred to by a specific religious rank, honorific, or clerical title in relation to another entity.
-
C.
hasViceChancellor
Indicates that one entity serves as the vice chancellor of another entity.
-
D.
chancellorTitle
Indicates the official title or designation held by an individual serving in the role of chancellor.
-
E.
officeHolderTitle
chosen
Indicates the official position or title held by a person in an office or role.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25dec53ac8190912f3d79576131fa |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b5739dc8190bad8bfa330ce0499 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.