Triple
T3596116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Quintín Glacier |
E76143
|
entity |
| Predicate | hasMassBalanceTrend |
P5318
|
FINISHED |
| Object | negative mass balance |
—
|
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: negative mass balance | Statement: [San Quintín Glacier, hasMassBalanceTrend, negative mass balance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMassBalanceTrend Context triple: [San Quintín Glacier, hasMassBalanceTrend, negative mass balance]
-
A.
hasTrend
chosen
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
-
B.
hasWaterBalance
Indicates that an entity maintains or exhibits a particular state or condition of water balance, such as hydration level or equilibrium between water intake and loss.
-
C.
hasTendency
Indicates that an entity is inclined or likely to exhibit a particular behavior, characteristic, or outcome under certain conditions.
-
D.
aimsToBalance
Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
-
E.
hasCheckAndBalanceWith
Indicates that two entities mutually monitor, limit, or counterbalance each other's powers or actions to prevent dominance or abuse.
- 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_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. |
Created at: March 8, 2026, 3:22 p.m.