Triple
T16228420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walks |
E393915
|
entity |
| Predicate | tourEnvironment |
P122240
|
FINISHED |
| Object | urban environments |
—
|
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: urban environments | Statement: [Walks, tourEnvironment, urban environments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourEnvironment Context triple: [Walks, tourEnvironment, urban environments]
-
A.
tourArea
Indicates that an entity conducts, offers, or is associated with tours within a specified geographic area or region.
-
B.
tourDocumented
Indicates that a tour has been recorded or documented, typically capturing its details, events, or progression.
-
C.
tourStaple
Indicates that something is a standard, frequently included element or highlight of a tour.
-
D.
tourAccess
Indicates that an entity is permitted to participate in, enter, or make use of a specific tour.
-
E.
tourOf
Indicates that one entity serves as a guided or organized visit through another entity, typically for exploration, education, or sightseeing.
- F. None of above. chosen
Provenance (4 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d2785f88190ae80d5d61129d3e5 |
completed | April 17, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:03 a.m.