Triple
T14037270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | João Manuel Gonçalves Lourenço |
E337744
|
entity |
| Predicate | termStartAsPresidentOfAngola |
P112581
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [João Manuel Gonçalves Lourenço, termStartAsPresidentOfAngola, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStartAsPresidentOfAngola Context triple: [João Manuel Gonçalves Lourenço, termStartAsPresidentOfAngola, 2017]
-
A.
currentPresidentOfAngolaFromParty
Indicates that the person is the current president of Angola and is a member of the specified political party.
-
B.
firstPresidentOfAngolaFromParty
Indicates that a person is the first individual from a specified political party to serve as President of Angola.
-
C.
startTime (President of Portugal)
Indicates the point in time at which a person begins serving as President of Portugal.
-
D.
termStartAsUNGAPresident
Indicates that an individual begins their term of office serving as President of the United Nations General Assembly.
-
E.
startTimeAsECPresident
Indicates the point in time at which an individual begins their term serving as President of the European Commission.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de30e312148190a6be0a3258364e6e |
completed | April 14, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:20 p.m.