Triple
T9796361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lau Basin |
E237726
|
entity |
| Predicate | hasHydrothermalSystem |
P81464
|
FINISHED |
| Object | high-temperature hydrothermal vents |
—
|
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: high-temperature hydrothermal vents | Statement: [Lau Basin, hasHydrothermalSystem, high-temperature hydrothermal vents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHydrothermalSystem Context triple: [Lau Basin, hasHydrothermalSystem, high-temperature hydrothermal vents]
-
A.
hasHydrothermalActivity
chosen
Indicates that a location or geological feature exhibits hydrothermal activity, such as the circulation of heated water or fluids associated with geothermal processes.
-
B.
hasGeyser
Indicates that one entity possesses, contains, or features a geyser as part of its characteristics or composition.
-
C.
hasHydrosphere
Indicates that an entity possesses or is characterized by a surrounding layer or system of water, such as oceans, seas, lakes, or other bodies of liquid water.
-
D.
hasHotSpring
Indicates that one entity possesses, contains, or is associated with a hot spring.
-
E.
hasFissureSystem
Indicates that an entity possesses or is characterized by a system of fissures or cracks.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda34a53548190a8cb524381fe2bf9 |
completed | April 1, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:28 p.m.