Triple
T32588035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vale do Lobo golf courses |
E832980
|
entity |
| Predicate | totalNumberOfCourses |
P49837
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Vale do Lobo golf courses, totalNumberOfCourses, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalNumberOfCourses Context triple: [Vale do Lobo golf courses, totalNumberOfCourses, 2]
-
A.
numberOfCourses
chosen
Indicates the quantity of courses associated with a given entity.
-
B.
hasNumberOfLessons
Indicates the specific count of lessons associated with an entity.
-
C.
numberOfLectures
Indicates the total count of lectures associated with a given entity or context.
-
D.
coursesThrough
Indicates that something (such as a path, channel, or medium) passes through or traverses the interior or extent of another entity.
-
E.
courseCountVariability
Indicates how much the number of courses taken or offered varies across different times, groups, or conditions.
- 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_69f34929ff648190aded9424aa7564ae |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 1, 2026, 1:04 a.m.