Triple
T30568426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sillein |
E778052
|
entity |
| Predicate | functionedAsNameFor |
P71235
|
FINISHED |
| Object | important regional center in northwestern Slovakia |
—
|
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: important regional center in northwestern Slovakia | Statement: [Sillein, functionedAsNameFor, important regional center in northwestern Slovakia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionedAsNameFor Context triple: [Sillein, functionedAsNameFor, important regional center in northwestern Slovakia]
-
A.
oftenUsedAsNameFor
chosen
Indicates that something frequently serves as a name or designation for another entity.
-
B.
namedAs
Indicates that one entity is given, known by, or referred to using the name of another entity.
-
C.
nameOf
Indicates that one entity is the name or designation of another entity.
-
D.
givenNameFor
Indicates that one entity is the personal first name assigned to or used for another entity.
-
E.
knowsAs
Indicates that one entity recognizes or refers to another entity by a particular name, alias, or identifier.
- 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 29, 2026, 8:21 p.m.