Triple
T7435278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Nauru |
E171596
|
entity |
| Predicate | countryFormationContext |
P76387
|
FINISHED |
| Object | independence of Nauru |
—
|
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: independence of Nauru | Statement: [President of Nauru, countryFormationContext, independence of Nauru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryFormationContext Context triple: [President of Nauru, countryFormationContext, independence of Nauru]
-
A.
historicalFormation
Indicates the process or circumstances through which something came into existence or took shape over time in history.
-
B.
countryFormed
Indicates that one country was created, established, or came into existence as a result of another country or political entity.
-
C.
U.S.Formation
Indicates the event or process by which the United States was established or came into existence as a political entity.
-
D.
stateOfFormation
Indicates the jurisdiction or region in which an entity was legally created or organized.
-
E.
formationCountry
Indicates the country in which an entity (such as an organization, company, or group) was originally formed or established.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f328cf6081908bea065639fd3620 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f0be2b1c8190bea06100a7caef2b |
completed | March 27, 2026, 9:03 p.m. |
Created at: March 27, 2026, 3:13 p.m.