Triple
T942321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PS Secretary-General |
E20332
|
entity |
| Predicate | mayAlsoBe |
P2819
|
FINISHED |
| Object | Prime Minister of Portugal |
—
|
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: Prime Minister of Portugal | Statement: [PS Secretary-General, mayAlsoBe, Prime Minister of Portugal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayAlsoBe Context triple: [PS Secretary-General, mayAlsoBe, Prime Minister of Portugal]
-
A.
canAlsoBe
chosen
Indicates that something has an additional possible state, role, or classification beyond its primary one.
-
B.
mayResultIn
Indicates that one entity has the potential to cause, lead to, or bring about another entity or outcome, without guaranteeing that it will occur.
-
C.
mayHold
Indicates that one entity is permitted or allowed to possess, contain, or maintain another entity.
-
D.
mayExtendTo
Indicates that something has the potential or permission to reach, continue, or be applied up to a specified limit, scope, or boundary.
-
E.
mayMeet
Indicates that one entity is permitted or has the possibility to meet or come together with another entity.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a1a4888190997adf56eb761431 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29dc8dc8190b9d33f70f8563d61 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.