Triple
T9081368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tahoma Glacier |
E217632
|
entity |
| Predicate | typeOfMassBalance |
P87095
|
FINISHED |
| Object | temperate glacier |
—
|
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: temperate glacier | Statement: [Tahoma Glacier, typeOfMassBalance, temperate glacier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMassBalance Context triple: [Tahoma Glacier, typeOfMassBalance, temperate glacier]
-
A.
massBalance
Indicates that the total mass entering a system equals the total mass leaving or accumulating within it, reflecting conservation of mass.
-
B.
hasMassScale
Indicates that an entity is associated with a particular mass measurement scale or system used to quantify its mass.
-
C.
hasMass_kg
Indicates that an entity possesses a specific mass measured in kilograms.
-
D.
givesMassTo
Indicates that one entity transfers or assigns a certain amount of mass to another entity.
-
E.
obtainsMassVia
Indicates that an entity acquires its mass through a specified process, mechanism, or interaction.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9608a82481908918821884ba5796 |
completed | April 1, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:13 p.m.