Triple
T23323136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musselburgh Old Course |
E591211
|
entity |
| Predicate | openChampionshipHostYears |
P151870
|
FINISHED |
| Object | 1874 |
—
|
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: 1874 | Statement: [Musselburgh Old Course, openChampionshipHostYears, 1874]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openChampionshipHostYears Context triple: [Musselburgh Old Course, openChampionshipHostYears, 1874]
-
A.
numberOfOpenChampionshipsHosted
Indicates the count of Open Championship golf tournaments that have been hosted by a given entity.
-
B.
worldChampionshipMatchYear
Indicates the year in which a given world championship match took place.
-
C.
championshipHeldIn
Indicates that a particular championship event takes place or is hosted in a specific location.
-
D.
hostedUSNationalChampionshipsUntil
Indicates that an entity served as the host location or organizer of the U.S. National Championships up to and including a specified end time.
-
E.
championshipsABAYears
Indicates the years in which entity A won championships associated with or against entity B.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978731b0819090f92ef768f2a749 |
completed | April 29, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:07 p.m.