Triple
T22798755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariano Rumor |
E564322
|
entity |
| Predicate | servedAsPrimeMinisterInPeriod |
P51488
|
FINISHED |
| Object | late 1960s |
—
|
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: late 1960s | Statement: [Mariano Rumor, servedAsPrimeMinisterInPeriod, late 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedAsPrimeMinisterInPeriod Context triple: [Mariano Rumor, servedAsPrimeMinisterInPeriod, late 1960s]
-
A.
servedUnderPrimeMinister
Indicates that one person held a governmental or official position subordinate to, and during the tenure of, a particular prime minister.
-
B.
heldOfficeOfPrimeMinisterThrough
chosen
Indicates that an entity continuously occupied and exercised the role and responsibilities of Prime Minister throughout a specified time period.
-
C.
servedAsFirstMinisterWith
Indicates that a person held the position of First Minister in association with a specified government, administration, or jurisdiction.
-
D.
officeHeldAsPrimeMinister
Indicates that an individual holds or has held the specific office or position of Prime Minister.
-
E.
succeededInOfficeAsPrimeMinisterBy
Indicates that one individual’s term as Prime Minister ended and was directly followed by another individual’s term in that office.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdb6ba48190936bd356704c1241 |
completed | April 29, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:31 p.m.