Triple
T17468767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valley of the Geraniums, Saint Helena |
E425345
|
entity |
| Predicate | originalGraveNow |
P75203
|
FINISHED |
| Object | empty tomb of Napoleon Bonaparte |
—
|
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: empty tomb of Napoleon Bonaparte | Statement: [Valley of the Geraniums, Saint Helena, originalGraveNow, empty tomb of Napoleon Bonaparte]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalGraveNow Context triple: [Valley of the Geraniums, Saint Helena, originalGraveNow, empty tomb of Napoleon Bonaparte]
-
A.
formerGraveOf
chosen
Indicates that a location once served as the grave of an entity, but no longer does (e.g., the remains have been moved or the grave has been removed).
-
B.
firstBurial
Indicates that an entity is the earliest or initial burial associated with a person, place, or burial context.
-
C.
The Grave_is
Indicates that something is identified as, located at, or characterized by the grave.
-
D.
usedAsGraveUntil
Indicates that something continued to function or be designated as a grave up to a specified point in time.
-
E.
hasGraveInscription
Indicates that an entity (typically a grave or tomb) bears a specific inscription engraved or written on it.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451aa0e1c81909627369465575c06 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.