Triple
T18773693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caloris Basin |
E459078
|
entity |
| Predicate | hasTerrainOnOppositeSideOfPlanet |
P132926
|
FINISHED |
| Object | weird terrain of Mercury |
—
|
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: weird terrain of Mercury | Statement: [Caloris Basin, hasTerrainOnOppositeSideOfPlanet, weird terrain of Mercury]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTerrainOnOppositeSideOfPlanet Context triple: [Caloris Basin, hasTerrainOnOppositeSideOfPlanet, weird terrain of Mercury]
-
A.
hasTerrainFor
Indicates that a location or area possesses terrain suitable or designated for a particular use, activity, or feature.
-
B.
hasNearbyPlateau
Indicates that one geographic entity is located close to or adjacent to a plateau.
-
C.
hasRockyTerrain
Indicates that the subject possesses or is characterized by rough, uneven, or rock-covered ground or surface conditions.
-
D.
hasIntermediateTerrain
Indicates that something is situated on or characterized by terrain of medium or moderate difficulty or ruggedness, between easy/flat and difficult/extreme terrain.
-
E.
locatedOnPlateauBetween
Indicates that one entity is situated on a plateau that lies between two other referenced geographic or spatial entities.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e593378a4081909cc1b0856fce7d7d |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:52 a.m.