Triple
T30918647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Front for Democratic Change |
E787655
|
entity |
| Predicate | opposedLeaderTitle |
P183733
|
FINISHED |
| Object | President of Chad |
—
|
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: President of Chad | Statement: [United Front for Democratic Change, opposedLeaderTitle, President of Chad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposedLeaderTitle Context triple: [United Front for Democratic Change, opposedLeaderTitle, President of Chad]
-
A.
opposedLeader
Indicates that one entity actively resisted, challenged, or worked against the leadership or authority of another entity.
-
B.
primaryOpposingLeader
Indicates that one entity serves as the main or chief leader directly opposing another entity in a conflict, competition, or political context.
-
C.
opposedLeaderSide2
Indicates that the second leader or side is in opposition to another leader or side in a conflict or contest.
-
D.
oppositionLeader
Indicates that one entity serves as the primary political leader of the opposition in relation to another governing entity.
-
E.
parliamentarianLeaderTitle
Indicates the official title held by the leader of a parliamentary body or legislature.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7a283388c81908e4a9ee3369e8d6f |
completed | May 3, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a224365081908ff6958e3b30bd05 |
completed | May 3, 2026, 7:29 p.m. |
Created at: April 29, 2026, 8:51 p.m.