Triple
T21637586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuilaepa Aiono Sailele Malielegaoi |
E533999
|
entity |
| Predicate | spokeOnIssue |
P48429
|
FINISHED |
| Object | sea-level rise in the Pacific |
—
|
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: sea-level rise in the Pacific | Statement: [Tuilaepa Aiono Sailele Malielegaoi, spokeOnIssue, sea-level rise in the Pacific]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokeOnIssue Context triple: [Tuilaepa Aiono Sailele Malielegaoi, spokeOnIssue, sea-level rise in the Pacific]
-
A.
spokenOn
Indicates that an utterance or speech act occurred at or during a specific time or date.
-
B.
spokeAt
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
-
C.
politicalIssueFor
Indicates a relationship where a particular topic, problem, or policy area is considered a matter of political concern or debate for a given entity.
-
D.
politicalIssueIn
Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
-
E.
givesSpeechOn
chosen
Indicates that one entity delivers or presents a speech whose topic or subject matter concerns 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef538eef0481908f5bf0e27f8e054d |
completed | April 27, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:35 p.m.