Triple
T9981131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Derby |
E196451
|
entity |
| Predicate | numberOfTimesPrimeMinister |
P29051
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Lord Derby, numberOfTimesPrimeMinister, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesPrimeMinister Context triple: [Lord Derby, numberOfTimesPrimeMinister, 3]
-
A.
numberOfTermsAsPrimeMinister
chosen
Indicates how many separate terms an individual has served in the role of prime minister.
-
B.
producedMostPrimeMinistersOf
Indicates that the subject entity has produced a greater number of prime ministers than any other comparable entity within a specified context.
-
C.
officeHeldAsPrimeMinister
Indicates that an individual holds or has held the specific office or position of Prime Minister.
-
D.
succeededInOfficeAsPrimeMinisterBy
Indicates that one individual’s term as Prime Minister ended and was directly followed by another individual’s term in that office.
-
E.
primeMinisterTerm
Indicates the period of time during which a person holds the office and exercises the role of prime minister of a government.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8bb3dc481909c65c37303e44037 |
completed | April 2, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:49 p.m.