Triple
T31204858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal and Ancient Golf Club of St Andrews |
E795573
|
entity |
| Predicate | associatedWithCourse |
P150206
|
FINISHED |
| Object | Old Course at St Andrews |
E6864
|
NE 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: Old Course at St Andrews | Statement: [Royal and Ancient Golf Club of St Andrews, associatedWithCourse, Old Course at St Andrews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCourse Context triple: [Royal and Ancient Golf Club of St Andrews, associatedWithCourse, Old Course at St Andrews]
-
A.
associatedCourse
chosen
Indicates that one entity is linked or connected to a particular course in a relevant or contextual way.
-
B.
usesCourse
Indicates that one entity makes use of, applies, or relies on a particular course in some context or activity.
-
C.
associatedWithSchool
Indicates a relationship where an entity has a connection or affiliation with a particular school, such as attendance, employment, or partnership.
-
D.
associatedWithAdvisor
Indicates that an entity has a relationship of guidance, oversight, or mentorship with a designated advisor.
-
E.
associatedWithInstitution
Indicates that an entity has a formal or recognized connection or affiliation with an institution.
- F. None of above.
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_69f224d8c6608190b7882466521f62be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2e7fb939a08190bc7bb4850999cd27 |
completed | June 14, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 9:09 p.m.