Triple
T29044887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huemul Island |
E738105
|
entity |
| Predicate | hasLakeShoreCountry |
P37897
|
FINISHED |
| Object | Argentina |
—
|
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: Argentina | Statement: [Huemul Island, hasLakeShoreCountry, Argentina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLakeShoreCountry Context triple: [Huemul Island, hasLakeShoreCountry, Argentina]
-
A.
hasLakeShoreCity
Indicates that a lake has a city located on or along its shore.
-
B.
hasLakeshore
Indicates that one entity is located along or directly borders the shore of a lake associated with another entity.
-
C.
hasShorelineCountry
chosen
Indicates that a country possesses a coastline or land boundary directly adjacent to a particular body of water or coastal region.
-
D.
hasLakeRegion
Indicates that a place or geographic area includes or is associated with a specific lake region.
-
E.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
- 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: April 28, 2026, 10:04 a.m.