Triple
T22986755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baby Thunder |
E571928
|
entity |
| Predicate | servesTerrainType |
P20426
|
FINISHED |
| Object | gentle terrain |
—
|
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: gentle terrain | Statement: [Baby Thunder, servesTerrainType, gentle terrain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesTerrainType Context triple: [Baby Thunder, servesTerrainType, gentle terrain]
-
A.
hasTerrainFor
Indicates that a location or area possesses terrain suitable or designated for a particular use, activity, or feature.
-
B.
involvesTerrain
Indicates that the relationship or action takes place in, across, or is directly affected by a specified type of terrain or landform.
-
C.
hasRockyTerrain
Indicates that the subject possesses or is characterized by rough, uneven, or rock-covered ground or surface conditions.
-
D.
hasBeginnerTerrain
Indicates that something provides or includes terrain or areas suitable for beginners.
-
E.
terrainCapability
chosen
Indicates the types of terrain or ground conditions in which an entity can effectively operate or function.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1829a96b8819082e0c6d7fb5d018f |
completed | April 29, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:49 p.m.