Triple
T18674836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2/2nd Independent Company |
E456571
|
entity |
| Predicate | operatedInTerrain |
P20426
|
FINISHED |
| Object | jungle |
—
|
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: jungle | Statement: [2/2nd Independent Company, operatedInTerrain, jungle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedInTerrain Context triple: [2/2nd Independent Company, operatedInTerrain, jungle]
-
A.
foughtOnTerrain
Indicates that an entity engaged in a fight or battle that took place on a specified type of terrain or ground.
-
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.
terrainCapability
chosen
Indicates the types of terrain or ground conditions in which an entity can effectively operate or function.
-
D.
hasAdvancedTerrain
Indicates that an entity possesses or is associated with terrain featuring complex, challenging, or enhanced physical characteristics beyond standard ground conditions.
-
E.
hasRockyTerrain
Indicates that the subject possesses or is characterized by rough, uneven, or rock-covered ground or surface conditions.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b4e390819091ad9dd118ca1f4f |
completed | April 19, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69e478db7a248190a8c6584673773923 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:48 a.m.