Triple
T36799107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piazza del Mercato, Naples |
E909270
|
entity |
| Predicate | conradinExecutionYear |
P186305
|
FINISHED |
| Object | 1268 |
—
|
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: 1268 | Statement: [Piazza del Mercato, Naples, conradinExecutionYear, 1268]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conradinExecutionYear Context triple: [Piazza del Mercato, Naples, conradinExecutionYear, 1268]
-
A.
yearOfGiordanoBrunoExecution
Indicates the specific calendar year in which Giordano Bruno was executed.
-
B.
victimsExecutedAt
Indicates that the victims were put to death at a specific location or during a specific event or time.
-
C.
condemnedInYear
Indicates that an entity was formally condemned or denounced in a specific calendar year.
-
D.
timeOfCondemnation
Indicates the specific time at which a condemnation (such as a legal judgment or formal denunciation) occurs or is issued.
-
E.
dateOfDefenestration
Indicates the specific date on which an entity was thrown out of a window (defenestrated).
- 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_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7cabdd2d88190be1c8de7e499cb83 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7ca91f1808190b2a05c4b691da0bb |
completed | May 3, 2026, 10:22 p.m. |
Created at: May 3, 2026, 4:12 p.m.