Triple
T3386962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rothera Research Station |
E71323
|
entity |
| Predicate | iceFeature |
P47165
|
FINISHED |
| Object | nearby Rothera Point |
—
|
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: nearby Rothera Point | Statement: [Rothera Research Station, iceFeature, nearby Rothera Point]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iceFeature Context triple: [Rothera Research Station, iceFeature, nearby Rothera Point]
-
A.
iceStrengthened
Indicates that an entity has been made stronger, reinforced, or enhanced through the application or influence of ice.
-
B.
hasIceSurface
Indicates that an entity possesses or is characterized by a surface composed primarily of ice.
-
C.
hasIcebergs
Indicates that one entity (typically a body of water or region) contains or is characterized by the presence of icebergs.
-
D.
hasTypicalIceRegime
Indicates that there is a characteristic or commonly occurring pattern of ice conditions associated with the referenced entity.
-
E.
iceSurface
Indicates that something is located on, in contact with, or forming the surface of ice.
- F. None of above. chosen
Provenance (4 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb66448fc8190a8582145f02bb1d9 |
completed | March 8, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69ada43615f08190ac2275020d157983 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada527ff308190813a7ffdcdec4322 |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:14 p.m.