Triple
T1763401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azores Triple Junction |
E38707
|
entity |
| Predicate | hasTectonicFeature |
P1094
|
FINISHED |
| Object | rift zone |
—
|
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: rift zone | Statement: [Azores Triple Junction, hasTectonicFeature, rift zone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTectonicFeature Context triple: [Azores Triple Junction, hasTectonicFeature, rift zone]
-
A.
hasTectonicSetting
Indicates the geological or tectonic environment in which an entity (such as a rock unit, region, or event) is situated or formed.
-
B.
tectonicActivityCharacteristic
Indicates a characteristic or property that describes the nature, intensity, or pattern of tectonic activity associated with something.
-
C.
hasOceanTrench
Indicates that a body of water contains or is associated with a specific ocean trench within its area.
-
D.
hasNaturalFeature
chosen
Indicates that one entity possesses, contains, or is characterized by a particular natural feature (such as a mountain, river, forest, or coastline).
-
E.
locatedOnTectonicBoundary
Indicates that one entity is situated directly on or along the tectonic plate boundary associated with another entity.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab173936b4819097332ee185996bbd |
completed | March 6, 2026, 6:04 p.m. |
| PD | Predicate disambiguation | batch_69aa61c9e06c819085489e00cfe72153 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.