Triple
T10275708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krakowskie Przedmieście campus |
E240959
|
entity |
| Predicate | hasTouristRelevance |
P20205
|
FINISHED |
| Object | popular with visitors to Warsaw |
—
|
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: popular with visitors to Warsaw | Statement: [Krakowskie Przedmieście campus, hasTouristRelevance, popular with visitors to Warsaw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTouristRelevance Context triple: [Krakowskie Przedmieście campus, hasTouristRelevance, popular with visitors to Warsaw]
-
A.
hasTouristAttractionRole
Indicates that an entity serves in the capacity or function of a tourist attraction for another entity (such as a place, organization, or area).
-
B.
isTouristDestination
Indicates that a place is recognized as a location people commonly visit for leisure, sightseeing, or travel.
-
C.
hasTouristPopularity
chosen
Indicates that a place or attraction is recognized as being popular or frequently visited by tourists.
-
D.
hasTouristRank
Indicates that an entity is assigned a specific rank or rating based on its attractiveness or importance as a tourist destination.
-
E.
isPartOfTouristArea
Indicates that one entity is located within or belongs to a designated tourist area or tourist-focused region.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d28b6cd4819084a7a5c1893b5ad8 |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:37 a.m.