Triple
T25003546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Touquet Golf Resort |
E625778
|
entity |
| Predicate | hasChampionshipCourse |
P66366
|
FINISHED |
| Object | La Mer |
—
|
NE NERFINISHED |
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: La Mer | Statement: [Le Touquet Golf Resort, hasChampionshipCourse, La Mer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChampionshipCourse Context triple: [Le Touquet Golf Resort, hasChampionshipCourse, La Mer]
-
A.
containsChampionshipCourse
chosen
Indicates that an entity includes or features a golf course that meets recognized championship-level standards.
-
B.
parOfChampionshipCourse
Indicates that one entity is a part or segment of a championship course associated with another entity.
-
C.
hasRacecourse
Indicates that an entity possesses, contains, or is associated with a racecourse facility or track.
-
D.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
-
E.
hasChampionshipRounds
Indicates that an event, match, or competition includes designated final or title-deciding rounds beyond the standard duration.
- 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_69e2ff26c50481908bc82e799c9e6587 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 18, 2026, 6:05 a.m.