Triple
T3596100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Quintín Glacier |
E76143
|
entity |
| Predicate | hasMeltwaterContributionTo |
P50125
|
FINISHED |
| Object | regional hydrology of Aysén Region |
—
|
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: regional hydrology of Aysén Region | Statement: [San Quintín Glacier, hasMeltwaterContributionTo, regional hydrology of Aysén Region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeltwaterContributionTo Context triple: [San Quintín Glacier, hasMeltwaterContributionTo, regional hydrology of Aysén Region]
-
A.
isGlaciologicallyRelatedTo
Indicates a relationship where two entities are connected through glaciological processes, features, or phenomena (such as ice dynamics, glacial formation, movement, or melt).
-
B.
hasGlacier
Indicates that one entity possesses, contains, or is characterized by the presence of a glacier.
-
C.
notableGlacier
Indicates that the subject is a glacier recognized for its particular significance, prominence, or noteworthiness.
-
D.
hasIceSheet
Indicates that one entity possesses, is covered by, or contains an ice sheet.
-
E.
glacierType
Indicates the specific classification or category of a glacier based on its form, dynamics, or setting.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc19b26bc8190b3cc0613a1a98361 |
completed | March 8, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69adb83b66708190bb9d2f23d6fd308e |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb9261a948190b67f6c6ac0dae2e9 |
completed | March 8, 2026, 6 p.m. |
Created at: March 8, 2026, 3:22 p.m.