Triple
T32444537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thonak Cho |
E829106
|
entity |
| Predicate | rankByAreaInGokyoLakes |
P130498
|
FINISHED |
| Object | largest lake |
—
|
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: largest lake | Statement: [Thonak Cho, rankByAreaInGokyoLakes, largest lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankByAreaInGokyoLakes Context triple: [Thonak Cho, rankByAreaInGokyoLakes, largest lake]
-
A.
isAmongLargestHighAltitudeLakes
Indicates that a lake ranks among the largest lakes located at high altitudes.
-
B.
rankAmongWorldsHighestMountains
Indicates that the subject mountain is among the tallest mountains in the world in terms of elevation.
-
C.
isHighAltitudeLake
Indicates that a lake is situated at a relatively high elevation above sea level.
-
D.
rankingByLengthInAlps
Indicates an ordering of entities based on their relative lengths specifically within the context of the Alps.
-
E.
lakeRankContext
chosen
Indicates the contextual ranking or relative standing of a lake within a specified comparison set or criteria.
- 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_69f3491d2e5c819092b1c9535beff8ec |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 12:55 a.m.