Triple
T6022005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentino Lake |
E134085
|
entity |
| Predicate | rankBySizeInArgentina |
P31652
|
FINISHED |
| Object | one of the largest lakes in Argentina |
—
|
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 largest lakes in Argentina | Statement: [Argentino Lake, rankBySizeInArgentina, one of the largest lakes in Argentina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankBySizeInArgentina Context triple: [Argentino Lake, rankBySizeInArgentina, one of the largest lakes in Argentina]
-
A.
rankByAreaInChile
Indicates the relative ordering of entities based on their area size within the geographic boundaries of Chile.
-
B.
unitArgentina
Indicates a relationship where an entity is associated with, belongs to, or is characterized as a unit related to Argentina.
-
C.
rankingInCountryBySize
chosen
Indicates the position of an entity in an ordered list of entities within a specific country, based on their relative size.
-
D.
largestArgentineBase
Indicates that the subject is the largest Argentine base (e.g., by size, capacity, or another specified measure) among a relevant set of bases.
-
E.
hasPopulationRankInChile
Indicates the relative position of an entity in the ordered ranking of populations within Chile.
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fbbf03c8190baf449a5d393af5c |
completed | March 22, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69c049e75b3881908be106fbcf8c68d4 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:07 p.m.