Triple
T710780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcelo Caetano |
E14200
|
entity |
| Predicate | officeStartForPrimeMinisterOfPortugal |
P19754
|
FINISHED |
| Object | 1968-09-27 |
—
|
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: 1968-09-27 | Statement: [Marcelo Caetano, officeStartForPrimeMinisterOfPortugal, 1968-09-27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartForPrimeMinisterOfPortugal Context triple: [Marcelo Caetano, officeStartForPrimeMinisterOfPortugal, 1968-09-27]
-
A.
officeStartForPresident
Indicates the date or point in time when a person begins serving in the role of president.
-
B.
firstMinister
Indicates that one entity serves as the first minister (head of government or chief minister) of another entity, such as a country, region, or jurisdiction.
-
C.
hasMinister
Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
-
D.
primeMinisterOrder
Indicates that a prime minister issues an official directive or command to another entity.
-
E.
primeMinisterFrom
Indicates that a person serves or has served as the prime minister of a specified country, region, or political 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a77fcc6881908a025bb21e44ad56 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f221b081909fbaa689fb20eb3e |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a77e42e081909a6f2d1bfdc78ef0 |
completed | March 1, 2026, 8:54 p.m. |
Created at: March 1, 2026, 7:36 p.m.