Triple
T32300022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Lytham & St Annes |
E825210
|
entity |
| Predicate | hostedOpenChampionshipEditions |
P151870
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Royal Lytham & St Annes, hostedOpenChampionshipEditions, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedOpenChampionshipEditions Context triple: [Royal Lytham & St Annes, hostedOpenChampionshipEditions, multiple]
-
A.
openChampionshipHostYears
chosen
Indicates the years during which a given entity served as the host for an Open Championship 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.
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.
-
D.
championshipHeld
Indicates that a championship event took place or was hosted at a particular time and/or location.
-
E.
championshipHeldIn
Indicates that a particular championship event takes place or is hosted in a specific location.
- 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_69f349115304819084ee91d345b6c8aa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 12:45 a.m.