Triple
T25215868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Étang Saumâtre |
E631825
|
entity |
| Predicate | isSecondLargestLakeOf |
P41730
|
FINISHED |
| Object | Hispaniola |
—
|
NE NERFINISHED |
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: Hispaniola | Statement: [Étang Saumâtre, isSecondLargestLakeOf, Hispaniola]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSecondLargestLakeOf Context triple: [Étang Saumâtre, isSecondLargestLakeOf, Hispaniola]
-
A.
isSecondLargestLakeIn
chosen
Indicates that a lake is the second largest lake within a specified geographic region or area.
-
B.
isFourthLargestNaturalFreshwaterLakeIn
Indicates that a lake is the fourth largest natural freshwater lake within a specified geographic region or area.
-
C.
isLargestInlandLakeIn
Indicates that a lake is the largest inland lake within the specified geographic region or area.
-
D.
nearestLargeLake
Indicates that one entity is the closest large lake in distance to the other entity.
-
E.
isNorthernmostLargeLakeOf
Indicates that a lake is the northernmost among all lakes classified as large within a specified area or set.
- 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_69e75a8d1aa48190a4320acd3654762c |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47b8d14c48190a744ce7dd1680150 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:59 p.m.