Triple
T10043547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frans Hals Museum |
E205353
|
entity |
| Predicate | touristRank |
P20205
|
FINISHED |
| Object | major tourist attraction in Haarlem |
—
|
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: major tourist attraction in Haarlem | Statement: [Frans Hals Museum, touristRank, major tourist attraction in Haarlem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: touristRank Context triple: [Frans Hals Museum, touristRank, major tourist attraction in Haarlem]
-
A.
hasTouristRank
Indicates that an entity is assigned a specific rank or rating based on its attractiveness or importance as a tourist destination.
-
B.
visitorAttractionRank
Indicates the relative ranking or position of a visitor attraction compared to other attractions, typically based on popularity, quality, or importance.
-
C.
touristArrivalsRank
Indicates the relative position of a place compared to others based on the number of tourists arriving there.
-
D.
hasTourismRating
Indicates that an entity has been assigned a specific tourism-related quality or rating, reflecting its appeal or suitability for tourists.
-
E.
hasTouristPopularity
chosen
Indicates that a place or attraction is recognized as being popular or frequently visited by tourists.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf61b3e08190b69bcf67b6a95342 |
completed | April 2, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8d2280819089de27e57babd1f3 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:55 p.m.