Triple
T28475324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Legislature of the Italian Republic |
E720544
|
entity |
| Predicate | hasPresidentOfTheRepublicDuringTerm |
P131506
|
FINISHED |
| Object | Enrico De Nicola |
—
|
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: Enrico De Nicola | Statement: [First Legislature of the Italian Republic, hasPresidentOfTheRepublicDuringTerm, Enrico De Nicola]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPresidentOfTheRepublicDuringTerm Context triple: [First Legislature of the Italian Republic, hasPresidentOfTheRepublicDuringTerm, Enrico De Nicola]
-
A.
presidentOfTheRepublicDuringTerm
chosen
Indicates that one person holds the office of president of the republic for the duration of a specified term.
-
B.
presidentDuringMostOfTerm
Indicates that one entity served as president for the majority of the other entity’s term in office.
-
C.
meetsDuringPresidencyOf
Indicates that one entity meets another while a specified person is serving as president.
-
D.
servedAsPresidentDuring
Indicates that a person held the office of president for the duration of a specified time period or event.
-
E.
presidentialTerm
Indicates the period of time during which an individual officially serves as president of a country or organization.
- 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_69f01a5983f48190b7c1b8857245a4f7 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fed83b1d188190a318b0ad3003200a |
completed | May 9, 2026, 6:46 a.m. |
| PD | Predicate disambiguation | batch_69fed78e03548190b6e6ad93ae8d131d |
completed | May 9, 2026, 6:43 a.m. |
Created at: April 28, 2026, 2:51 a.m.