Triple
T8616444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Café Sabarsky |
E204049
|
entity |
| Predicate | hasAmbiance |
P30942
|
FINISHED |
| Object | Central European coffeehouse |
—
|
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: Central European coffeehouse | Statement: [Café Sabarsky, hasAmbiance, Central European coffeehouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAmbiance Context triple: [Café Sabarsky, hasAmbiance, Central European coffeehouse]
-
A.
hasAmbience
chosen
Indicates that one entity provides or is characterized by a particular atmosphere, mood, or environmental quality experienced in or around another entity.
-
B.
ambientSpace
Indicates the surrounding or containing space within which an object, structure, or geometric entity is situated or defined.
-
C.
hasLoungeType
Indicates that an entity is associated with, or classified by, a particular type or category of lounge.
-
D.
hasAuditorium
Indicates that one entity possesses or includes an auditorium as part of its facilities.
-
E.
hasDanceFloor
Indicates that a place or venue includes a designated area intended for dancing.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4703b57c81909511de72fa5c38d7 |
completed | March 31, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cc455437488190b7506f820daf6e32 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:25 p.m.