Triple
T6733765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neapolitan Bourbons |
E153701
|
entity |
| Predicate | lostThroneDuring |
P64517
|
FINISHED |
| Object | Italian unification |
—
|
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: Italian unification | Statement: [Neapolitan Bourbons, lostThroneDuring, Italian unification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostThroneDuring Context triple: [Neapolitan Bourbons, lostThroneDuring, Italian unification]
-
A.
lostThroneTo
Indicates that one entity was previously in possession of a throne or rulership but was defeated or displaced so that another entity took that throne instead.
-
B.
lostThronesAfter
Indicates that one or more entities ceased to hold their thrones or ruling positions after a specified event, time, or condition.
-
C.
throne
Indicates that an entity holds or occupies a position of sovereign authority or rulership, typically as a monarch.
-
D.
lostDuring
chosen
Indicates that something ceased to be in possession or was no longer retained while a particular event, process, or time period was occurring.
-
E.
regainsThroneFrom
Indicates that one entity takes back control of a throne or rulership position that had been held by another entity.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d354177481908ab3cf5437c095e2 |
completed | March 27, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69c6d08e8a2c8190ae4e8d8c039be7ce |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:09 p.m.