Triple
T19957411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yer Maun |
E479719
|
entity |
| Predicate | refersToStatue |
P1646
|
FINISHED |
| Object | Joey Dunlop statue at the Isle of Man TT course |
—
|
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: Joey Dunlop statue at the Isle of Man TT course | Statement: [Yer Maun, refersToStatue, Joey Dunlop statue at the Isle of Man TT course]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToStatue Context triple: [Yer Maun, refersToStatue, Joey Dunlop statue at the Isle of Man TT course]
-
A.
statueName
Indicates that a statue has a specific name or title associated with it.
-
B.
positionOfStatue
Indicates the spatial location where a statue is situated or placed.
-
C.
topStatue
Indicates that one entity is positioned as a statue on top of another entity.
-
D.
hasStatue
chosen
Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
-
E.
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).
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af1b32c81908ebe0e2570ec06a9 |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.