Triple
T5927264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Elaia–Kalamas |
E131843
|
entity |
| Predicate | primaryTerrain |
P9701
|
FINISHED |
| Object | mountainous 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: mountainous terrain | Statement: [Battle of Elaia–Kalamas, primaryTerrain, mountainous terrain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTerrain Context triple: [Battle of Elaia–Kalamas, primaryTerrain, mountainous terrain]
-
A.
landerType
Indicates the specific kind or category of lander involved in the relationship or action.
-
B.
terrainFeature
Indicates a relationship where one entity is a natural or constructed landform or surface characteristic associated with a given location or area.
-
C.
landscapeType
chosen
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
-
D.
primaryEcosystem
Indicates the main type of ecosystem in which an entity predominantly exists or operates.
-
E.
naturalRegionType
Indicates the type or category of natural region to which a given area or place belongs.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4 p.m.