Triple
T17536434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurfürstendamm |
E427071
|
entity |
| Predicate | majorTypeOf |
P115297
|
FINISHED |
| Object | shopping street |
—
|
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: shopping street | Statement: [Kurfürstendamm, majorTypeOf, shopping street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorTypeOf Context triple: [Kurfürstendamm, majorTypeOf, shopping street]
-
A.
majorType
chosen
Indicates that one entity is classified as the primary or main type/category of another entity.
-
B.
majorFor
Indicates that an academic program, field of study, or specialization is the primary major associated with a particular student or degree.
-
C.
majorConstituentType
Indicates the type or category of a primary or dominant component that makes up a larger whole.
-
D.
majorForm
Indicates that one entity is the primary or principal form, version, or manifestation of another entity.
-
E.
majorSee
Indicates that one entity serves as the primary or most important location where another entity is based, operates, or is centered.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536d03dc81908b8a58f66657c01a |
completed | April 19, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.