Triple
T14835213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of St. Lucia (1778) |
E348812
|
entity |
| Predicate | landAction |
P116019
|
FINISHED |
| Object | French assaults on British positions on the Morne Fortuné heights |
—
|
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: French assaults on British positions on the Morne Fortuné heights | Statement: [Battle of St. Lucia (1778), landAction, French assaults on British positions on the Morne Fortuné heights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landAction Context triple: [Battle of St. Lucia (1778), landAction, French assaults on British positions on the Morne Fortuné heights]
-
A.
landComponent
Indicates that one entity is a physical land portion or segment that forms part of a larger land area or land-related whole.
-
B.
land
Indicates coming down from the air or a higher position to make contact with and settle on a surface.
-
C.
Land
Indicates that an entity arrives onto and comes to rest on a surface or ground, typically from the air or another elevated position.
-
D.
landVariant
Indicates that one landform, terrain type, or land-related entity is an alternative or variant form of another.
-
E.
landsAt
Indicates that a moving entity arrives and comes to rest at a specific location or destination.
- F. None of above. chosen
Provenance (4 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded076ac9c8190a05cabec5e87d207 |
completed | April 14, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de90806f3881908fcbfec5bd4ab4d2 |
completed | April 14, 2026, 7:07 p.m. |
Created at: April 10, 2026, 1:52 a.m.