Triple
T1524098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Tanganyika |
E32295
|
entity |
| Predicate | rankByAge |
P12242
|
FINISHED |
| Object | one of the oldest freshwater lakes in the world |
—
|
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: one of the oldest freshwater lakes in the world | Statement: [Lake Tanganyika, rankByAge, one of the oldest freshwater lakes in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankByAge Context triple: [Lake Tanganyika, rankByAge, one of the oldest freshwater lakes in the world]
-
A.
rankBySize
Indicates that entities are ordered or compared based on their size.
-
B.
rankingMember
Indicates that one entity is the highest-ranking or most senior member within a particular group, committee, or organization relative to the others.
-
C.
rankedBy
Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another entity.
-
D.
rankingType
chosen
Indicates the specific basis or method by which items are ordered or ranked relative to one another.
-
E.
ageGroup
Indicates the categorical age range or bracket to which an entity belongs.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93d4756888190bf3872154de11539 |
completed | March 5, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69a907ac7ea081908dd95bb5cc3b9847 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.