Triple
T20779871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statue of Giordano Bruno at Campo de' Fiori |
E511449
|
entity |
| Predicate | yearOfGiordanoBrunoExecution |
P141517
|
FINISHED |
| Object | 1600 |
—
|
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: 1600 | Statement: [Statue of Giordano Bruno at Campo de' Fiori, yearOfGiordanoBrunoExecution, 1600]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfGiordanoBrunoExecution Context triple: [Statue of Giordano Bruno at Campo de' Fiori, yearOfGiordanoBrunoExecution, 1600]
-
A.
numberOfPeopleExecuted
Indicates the total count of individuals who were put to death, typically as a result of a formal execution process.
-
B.
dateOfDefenestration
Indicates the specific date on which an entity was thrown out of a window (defenestrated).
-
C.
timeOfCondemnation
Indicates the specific time at which a condemnation (such as a legal judgment or formal denunciation) occurs or is issued.
-
D.
numberOfPeopleExecutedByBurning
Indicates the count of individuals who were put to death specifically by burning.
-
E.
condemnedInYear
Indicates that an entity was formally condemned or denounced in a specific calendar year.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26f99b88190a84a6889834e1e96 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:37 p.m.