Triple
T35533095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donut Plains 2 |
E1026856
|
entity |
| Predicate | containsTerrain |
P67504
|
FINISHED |
| Object | pipes |
—
|
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: pipes | Statement: [Donut Plains 2, containsTerrain, pipes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsTerrain Context triple: [Donut Plains 2, containsTerrain, pipes]
-
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.
hasTerrainCharacter
Indicates that one entity possesses or exhibits a particular terrain-related feature or characteristic in relation to another entity.
-
D.
terrainIncludes
chosen
Indicates that a specified terrain area contains or encompasses another geographic or environmental feature within its boundaries.
-
E.
hasGeneralTerrain
Indicates that an entity is characterized by or associated with a particular overall type of terrain.
- 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_69f76dff7e508190b28ceeee770dce23 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a00c3362dcc819096e49b882709fddd |
completed | May 10, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_6a00c2e5cdd88190a5f2d0f6a843cd56 |
completed | May 10, 2026, 5:39 p.m. |
Created at: May 3, 2026, 4:04 p.m.