Triple
T35566140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Provincia de Capitán Prat |
E1027779
|
entity |
| Predicate | hasGlacierField |
P183266
|
FINISHED |
| Object | Campos de Hielo Norte |
—
|
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: Campos de Hielo Norte | Statement: [Provincia de Capitán Prat, hasGlacierField, Campos de Hielo Norte]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGlacierField Context triple: [Provincia de Capitán Prat, hasGlacierField, Campos de Hielo Norte]
-
A.
hasGlacier
Indicates that one entity possesses, contains, or is characterized by the presence of a glacier.
-
B.
hasGlacierSource
Indicates that something (typically a river, stream, or water body) originates from or is fed by a glacier as its primary source.
-
C.
hasGlacierAccess
Indicates that an entity has direct access to, or is reachable from, a glacier (e.g., via paths, routes, or physical adjacency).
-
D.
hasGlacierArm
Indicates that a glacier possesses or extends into a subsidiary arm or branch of ice connected to it.
-
E.
hasGlacierOutlet
Indicates that a glacier has a specific outlet feature or location through which its ice or meltwater flows or exits.
- F. None of above. chosen
Provenance (4 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79a53ccc481908421ae16e69aa8a4 |
completed | May 3, 2026, 6:56 p.m. |
Created at: May 3, 2026, 4:04 p.m.