Triple
T21791926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muirfield |
E537990
|
entity |
| Predicate | hostedSeniorOpenInYear |
P16171
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Muirfield, hostedSeniorOpenInYear, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedSeniorOpenInYear Context triple: [Muirfield, hostedSeniorOpenInYear, 2007]
-
A.
hostedEventYear
chosen
Indicates the specific year in which an entity hosted a particular event.
-
B.
hostedOpenChampionshipUntil
Indicates that an entity served as the venue or organizer for the Open Championship tournament up to and including a specified time or edition.
-
C.
structureOpeningYear
Indicates the calendar year in which a structure was first opened for use or public access.
-
D.
officialOpeningYear
Indicates the calendar year in which something was formally opened or inaugurated for official use.
-
E.
hostCitySelectionYear
Indicates the year in which a city was selected or designated to serve as the host for a particular event or activity.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f06220bbe0819091cf3b41aa788cc3 |
completed | April 28, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:52 p.m.