Triple
T17029841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal County Down Golf Club |
E413162
|
entity |
| Predicate | parOfChampionshipCourse |
P125564
|
FINISHED |
| Object | 71 |
—
|
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: 71 | Statement: [Royal County Down Golf Club, parOfChampionshipCourse, 71]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parOfChampionshipCourse Context triple: [Royal County Down Golf Club, parOfChampionshipCourse, 71]
-
A.
containsChampionshipCourse
Indicates that an entity includes or features a golf course that meets recognized championship-level standards.
-
B.
playedOnCourse
Indicates that an entity (typically a player or team) participated in a game, match, or round that took place on a specific course.
-
C.
hasCoursePar
Indicates that one course is a parent or higher-level course in relation to another course, such as a prerequisite or overarching course.
-
D.
typicalCoursePar
Indicates that one course is a typical or standard parallel (i.e., alternative but equivalent) course to another within a curriculum or program.
-
E.
championshipFor
Indicates that a championship event or title is held, awarded, or designated for a particular competition, season, or category.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d918ec8190b54c40c2a5e9b6b9 |
completed | April 18, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:33 a.m.