Triple
T27957397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landesminister |
E703588
|
entity |
| Predicate | kannLeiten |
P39122
|
FINISHED |
| Object | Finanzministerium eines Landes |
—
|
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: Finanzministerium eines Landes | Statement: [Landesminister, kannLeiten, Finanzministerium eines Landes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kannLeiten Context triple: [Landesminister, kannLeiten, Finanzministerium eines Landes]
-
A.
canLeadTo
Indicates that one entity, condition, or event has the potential to cause, result in, or bring about another.
-
B.
canConvey
Indicates that one entity is capable of transmitting, expressing, or carrying another (such as information, meaning, or an object) from a source to a target.
-
C.
transportsWaterTo
Indicates that one entity carries or conveys water from its location or source to another entity or destination.
-
D.
isCapableOf
chosen
Indicates that an entity has the ability or capacity to perform a particular action or function.
-
E.
kāṇḍa
Indicates a part–whole relationship where something is a section, chapter, or subdivision of a larger structured whole.
- 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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 7:29 p.m.