Triple
T28402871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomb of Vincent van Gogh |
E719436
|
entity |
| Predicate | hasAdjacentGrave |
P147298
|
FINISHED |
| Object | Grave of Theo van Gogh |
—
|
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: Grave of Theo van Gogh | Statement: [Tomb of Vincent van Gogh, hasAdjacentGrave, Grave of Theo van Gogh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdjacentGrave Context triple: [Tomb of Vincent van Gogh, hasAdjacentGrave, Grave of Theo van Gogh]
-
A.
hasGraveNextTo
chosen
Indicates that one entity’s grave is located immediately adjacent to another entity’s grave.
-
B.
hasGraveOccupant
Indicates that a grave is occupied by a specific person or entity.
-
C.
hasGravestone
Indicates that one entity possesses, is associated with, or is commemorated by a gravestone.
-
D.
hasNearbyCemetery
Indicates that one entity is located close to, or in the immediate vicinity of, a cemetery associated with another entity.
-
E.
hasPartInGrave
Indicates that an entity includes another entity as a physical component or element within a grave.
- 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_69eff6efd1b08190ae3cefd4f11388a2 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 28, 2026, 1:21 a.m.