Triple
T23534755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cayman Trench |
E576668
|
entity |
| Predicate | hasHydrothermalVents |
P81464
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Cayman Trench, hasHydrothermalVents, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHydrothermalVents Context triple: [Cayman Trench, hasHydrothermalVents, yes]
-
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.
hasVolcanicVents
Indicates that one entity possesses or contains volcanic vents associated with another entity or location.
-
C.
hasVolcano
Indicates that one entity possesses, contains, or is the location of a volcano.
-
D.
hasFumaroles
Indicates the presence of fumaroles (openings emitting volcanic gases or steam) associated with an entity.
-
E.
hasSeamount
Indicates that an entity possesses, contains, or is associated with a seamount (an underwater mountain).
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae164f348190a6bde1a0dfc66389 |
completed | April 29, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:10 p.m.