Triple
T33839603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imbrian period |
E867322
|
entity |
| Predicate | includesTerrainType |
P189727
|
FINISHED |
| Object | mare plains |
—
|
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: mare plains | Statement: [Imbrian period, includesTerrainType, mare plains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesTerrainType Context triple: [Imbrian period, includesTerrainType, mare plains]
-
A.
involvesTerrain
Indicates that the relationship or action takes place in, across, or is directly affected by a specified type of terrain or landform.
-
B.
terrainIncludes
Indicates that a specified terrain area contains or encompasses another geographic or environmental feature within its boundaries.
-
C.
hasGeneralTerrain
chosen
Indicates that an entity is characterized by or associated with a particular overall type of terrain.
-
D.
hasTerrainFor
Indicates that a location or area possesses terrain suitable or designated for a particular use, activity, or feature.
-
E.
hasNoTerrainType
Indicates that an entity explicitly lacks any associated terrain type within the modeled relationship or context.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0361c6d76481909332b28ab01b0ef7 |
completed | May 12, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_6a0360b3818c819084bbecf705475f4f |
completed | May 12, 2026, 5:17 p.m. |
Created at: May 1, 2026, 1:47 a.m.