Triple
T4183043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alejandro Lerroux |
E88238
|
entity |
| Predicate | primeMinisterTerm |
P54275
|
FINISHED |
| Object | 1933-09-12/1934-03-09 |
—
|
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: 1933-09-12/1934-03-09 | Statement: [Alejandro Lerroux, primeMinisterTerm, 1933-09-12/1934-03-09]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primeMinisterTerm Context triple: [Alejandro Lerroux, primeMinisterTerm, 1933-09-12/1934-03-09]
-
A.
primeMinisterTermEnd
Indicates the date or point in time when a person's tenure as prime minister comes to an end.
-
B.
primeMinisterTermStart
Indicates the date on which an individual officially begins serving as prime minister.
-
C.
numberOfTermsAsPrimeMinister
Indicates how many separate terms an individual has served in the role of prime minister.
-
D.
primeMinisterOf
Indicates that a person holds the office of prime minister as the head of government of a specified country or political entity.
-
E.
lastPrimeMinister
Indicates that the subject is the most recent individual to have held the office of prime minister of the object entity.
- 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af07078cb081909f64326b12522410 |
completed | March 9, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69af019155448190b19868583272513f |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af07059d288190a1ea79449414fbce |
completed | March 9, 2026, 5:44 p.m. |
Created at: March 9, 2026, 3:45 p.m.