Triple
T34913696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunken Garden, Kensington Palace |
E1006943
|
entity |
| Predicate | statueUnveiledBy |
P13774
|
FINISHED |
| Object | Prince William, Duke of Cambridge |
—
|
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: Prince William, Duke of Cambridge | Statement: [Sunken Garden, Kensington Palace, statueUnveiledBy, Prince William, Duke of Cambridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statueUnveiledBy Context triple: [Sunken Garden, Kensington Palace, statueUnveiledBy, Prince William, Duke of Cambridge]
-
A.
statueInaugurationDate
Indicates the date on which a statue was formally inaugurated or unveiled.
-
B.
unveiledBy
chosen
Indicates that something (such as an object, artwork, or project) was formally revealed or presented to the public by a particular agent or entity.
-
C.
sculptorOfFrontStatue
Indicates that one entity is the sculptor who created the statue located at the front of another entity (such as a building or site).
-
D.
statuesBy
Indicates that one entity is the creator, sculptor, or originator of statues depicting or associated with another entity.
-
E.
sculptorOfMonument
Indicates that one entity is the sculptor who created or designed a particular monument.
- 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_69f76dc2b6b0819095a61debbd405269 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff6c061c6c81909ff485e9cafc88a2 |
completed | May 9, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ff6aaf886c8190a3c87d089453f3de |
completed | May 9, 2026, 5:11 p.m. |
Created at: May 3, 2026, 4 p.m.