Triple
T23939586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triple Alliance forces |
E602742
|
entity |
| Predicate | primaryLeaderCountry |
P154433
|
FINISHED |
| Object | Empire of Brazil |
—
|
NE NERFINISHED |
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: Empire of Brazil | Statement: [Triple Alliance forces, primaryLeaderCountry, Empire of Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryLeaderCountry Context triple: [Triple Alliance forces, primaryLeaderCountry, Empire of Brazil]
-
A.
primaryCountryCluster
Indicates that an entity belongs to the main or most representative grouping of countries associated with it.
-
B.
mainCountry
Indicates that one country is the primary or most significant country associated with a given entity or context.
-
C.
primaryLocationCountry
Indicates the country that serves as the main or primary location associated with the subject.
-
D.
originCountryLeader
Indicates that one entity is the political leader (e.g., head of state or government) of the country from which the other entity originates.
-
E.
primaryRouteCountry
Indicates the country that serves as the main or principal route location associated with the subject.
- 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_69e2953cf6e081909b8e25a10a52dddc |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1cfa40398819095e24521f3bf8622 |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:08 p.m.