Triple
T19930970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unità Residenziale, Berlin-Tiergarten |
E479050
|
entity |
| Predicate | hasSpatialCharacter |
P107718
|
FINISHED |
| Object | strong formal clarity |
—
|
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: strong formal clarity | Statement: [Unità Residenziale, Berlin-Tiergarten, hasSpatialCharacter, strong formal clarity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpatialCharacter Context triple: [Unità Residenziale, Berlin-Tiergarten, hasSpatialCharacter, strong formal clarity]
-
A.
spatialCharacter
chosen
Indicates a relationship where an entity is characterized or defined by a particular spatial property, configuration, or arrangement.
-
B.
hasSpecialCharacter
Indicates that a given entity (such as a string or identifier) contains at least one non-alphanumeric special character.
-
C.
hasSpatialConcept
Indicates a relationship where one entity is associated with, defined by, or characterized through a particular spatial concept or spatial configuration.
-
D.
hasLanguageCharacter
Indicates that an entity uses, contains, or is associated with a specific written or symbolic character from a language.
-
E.
hasSpaceIn
Indicates that one entity occupies or is contained within a physical or conceptual space provided by another 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a13ebc08190a583aa4c5e9f6648 |
completed | April 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69e537f070b481908958e0e5911dcdc1 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:53 p.m.