Triple
T24023687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azores Summit (2003) |
E594892
|
entity |
| Predicate | hostRoleOfPortugal |
P40542
|
FINISHED |
| Object | facilitated meeting on Portuguese territory |
—
|
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: facilitated meeting on Portuguese territory | Statement: [Azores Summit (2003), hostRoleOfPortugal, facilitated meeting on Portuguese territory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostRoleOfPortugal Context triple: [Azores Summit (2003), hostRoleOfPortugal, facilitated meeting on Portuguese territory]
-
A.
roleInPortugal
chosen
Indicates that an entity holds or has held a specific role, position, or function within the context of Portugal.
-
B.
grantedToPortugal
Indicates that a right, privilege, territory, or other benefit has been formally conferred or assigned to Portugal.
-
C.
returnedToPortugal
Indicates that an entity went back to Portugal after having been away.
-
D.
limitedPortugalTo
Indicates that something is restricted in scope, effect, or applicability specifically to Portugal.
-
E.
consequenceForPortugal
Indicates that one event, action, or situation results in a particular outcome or effect specifically for Portugal.
- 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d7680d5c81908d6a670159879236 |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:52 p.m.