Triple
T24063260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scottish Open |
E596012
|
entity |
| Predicate | associatedMajor |
P154711
|
FINISHED |
| Object | The Open Championship |
—
|
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: The Open Championship | Statement: [Scottish Open, associatedMajor, The Open Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedMajor Context triple: [Scottish Open, associatedMajor, The Open Championship]
-
A.
majorFor
Indicates that an academic program, field of study, or specialization is the primary major associated with a particular student or degree.
-
B.
majorRelationship
Indicates a primary or most significant relationship between entities, typically denoting a dominant, central, or most influential connection among possible relationships.
-
C.
majorActivity
Indicates that the related entity performs, participates in, or is primarily associated with a main or most significant activity.
-
D.
majorField
Indicates the primary academic discipline or field of study in which an entity (typically a person or program) specializes.
-
E.
hasMajor
Indicates that an entity (typically a person or student) has a specific primary field of academic study or specialization.
- 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da5825548190b94cb6e708617a7d |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:39 p.m.