Triple
T5231312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guam Visitors Bureau |
E118115
|
entity |
| Predicate | promotesAttractionType |
P8648
|
FINISHED |
| Object | beach tourism |
—
|
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: beach tourism | Statement: [Guam Visitors Bureau, promotesAttractionType, beach tourism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: promotesAttractionType Context triple: [Guam Visitors Bureau, promotesAttractionType, beach tourism]
-
A.
attractionBasedOn
Indicates a relationship where one entity is drawn to or interested in another specifically because of certain attributes, qualities, or characteristics that the latter possesses.
-
B.
attractionType
Indicates the specific kind or category of attraction that characterizes the relationship between entities.
-
C.
isAttractionFor
Indicates that one entity serves as an attraction or point of interest specifically intended for another entity (such as a person, group, or audience).
-
D.
hasAttractionType
chosen
Indicates that one entity is associated with a specific kind or category of attraction (e.g., tourist, cultural, natural).
-
E.
attracts
Indicates that one entity exerts a force or influence that draws another entity toward it.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0093a88190aba381ba3f761408 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77bf1ef08190bb3487b3f3ee088c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.