Triple
T1143854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Java Sea |
E23517
|
entity |
| Predicate | seaSurfaceTemperature |
P9307
|
FINISHED |
| Object | warm year-round |
—
|
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: warm year-round | Statement: [Java Sea, seaSurfaceTemperature, warm year-round]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seaSurfaceTemperature Context triple: [Java Sea, seaSurfaceTemperature, warm year-round]
-
A.
waterTemperatureType
chosen
Indicates the classification or category of a water body’s temperature (e.g., cold, warm, hot) associated with an entity or context.
-
B.
globalTemperatureAnomaly
Indicates the deviation of the Earth's average temperature from a defined long-term baseline or reference period.
-
C.
oceanCurrent
Indicates the flow of seawater in a consistent direction driven by factors like wind, temperature, and salinity.
-
D.
oceanCirculation
Indicates the movement and flow patterns of seawater within and between oceans, including currents, mixing, and large-scale circulation systems.
-
E.
nearestSea
Indicates that one location is the closest sea to a given place compared to all other seas.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc5008d8819095c1ffb5db5b4911 |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4d4104819084027a043c6118cb |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.