Triple
T5298314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The White City |
E119909
|
entity |
| Predicate | touristicImage |
P33524
|
FINISHED |
| Object | picturesque Andean colonial city |
—
|
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: picturesque Andean colonial city | Statement: [The White City, touristicImage, picturesque Andean colonial city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: touristicImage Context triple: [The White City, touristicImage, picturesque Andean colonial city]
-
A.
tourDocumented
Indicates that a tour has been recorded or documented, typically capturing its details, events, or progression.
-
B.
photographedByTourists
Indicates that the subject has been photographed by people visiting as tourists.
-
C.
tourismFeature
Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
-
D.
tourWith
Indicates that one entity accompanies another on a tour, sharing the same itinerary or guided experience.
-
E.
tourismDraw
chosen
Indicates that one entity attracts tourists or visitor interest to another entity or location.
- 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_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8e44e7c881909b241b2fec366038 |
completed | March 20, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69bd845097ac81909678624c4907fda4 |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:53 p.m.