Triple
T12555061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British capture of Fort Lee |
E295191
|
entity |
| Predicate | AmericanForcesEvacuated |
P105867
|
FINISHED |
| Object | Fort Lee garrison |
—
|
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: Fort Lee garrison | Statement: [British capture of Fort Lee, AmericanForcesEvacuated, Fort Lee garrison]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AmericanForcesEvacuated Context triple: [British capture of Fort Lee, AmericanForcesEvacuated, Fort Lee garrison]
-
A.
britishTroopsEvacuated
Indicates that British military forces withdrew or were removed from a particular location or conflict.
-
B.
numberOfTroopsEvacuated
Indicates the quantity of troops that have been removed from a location or situation and transported to safety.
-
C.
frenchTroopsEvacuated
Indicates that French military forces withdrew or were removed from a particular location or situation.
-
D.
USForces
Indicates the presence, involvement, or deployment of United States military forces in relation to a specified location, event, or entity.
-
E.
evacuatedBy
Indicates that an entity is removed or cleared from a place or situation through the action or assistance of another agent or process.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 11:45 p.m.