Triple
T1740293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atbara River |
E38216
|
entity |
| Predicate | lowerCourseEnvironment |
P31773
|
FINISHED |
| Object | Sudanese plains |
—
|
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: Sudanese plains | Statement: [Atbara River, lowerCourseEnvironment, Sudanese plains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerCourseEnvironment Context triple: [Atbara River, lowerCourseEnvironment, Sudanese plains]
-
A.
lowerCourseName
Indicates that the course’s name is represented in all lowercase characters.
-
B.
lowestWorld
Indicates that the referenced world has the minimal value (e.g., in rank, cost, or some ordering) among a set of worlds.
-
C.
lowerCourt
Indicates that one court holds a subordinate or inferior position in the judicial hierarchy relative to another court.
-
D.
lowerRank
Indicates that one entity holds an inferior or subordinate rank, status, or position relative to another entity.
-
E.
belowLeague
Indicates that one entity is in a lower league, division, or competitive tier than another entity.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab3c2559ac8190905186406fcaccb9 |
completed | March 6, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69aa61c4023c819099cbe439aefda71f |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab3c2479148190badc616f8e2686d4 |
completed | March 6, 2026, 8:42 p.m. |
Created at: March 4, 2026, 7:30 p.m.