Triple
T3070714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal St George’s Golf Club |
E64012
|
entity |
| Predicate | wasFirstOpenVenueOutsideScotland |
P44257
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Royal St George’s Golf Club, wasFirstOpenVenueOutsideScotland, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasFirstOpenVenueOutsideScotland Context triple: [Royal St George’s Golf Club, wasFirstOpenVenueOutsideScotland, true]
-
A.
openedFirstBoutiqueIn
Indicates that an entity established its first boutique or retail store in a specified location.
-
B.
firstOpenedAt
Indicates the date and time at which something was initially opened for the first time.
-
C.
homeVenueOpened
Indicates that a venue has officially begun operating as the designated home location for a particular team or organization.
-
D.
openedAt
Indicates that an entity began operating, became accessible, or was first made available at a specific time or date.
-
E.
openedBefore
Indicates that one entity was opened at an earlier time than another entity.
- 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_69ad857a8aec8190bfdfd9c14554ac5a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada14b366881908e2ca104e5f38251 |
completed | March 8, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69ad9625b30c819099ef9349c91d7b25 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f7630c81908e1ca8a69611cff6 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.