Triple
T706845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Monmouth |
E14117
|
entity |
| Predicate | UKObjective |
P19024
|
FINISHED |
| Object | protect baggage train and reach New York safely |
—
|
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: protect baggage train and reach New York safely | Statement: [Battle of Monmouth, UKObjective, protect baggage train and reach New York safely]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UKObjective Context triple: [Battle of Monmouth, UKObjective, protect baggage train and reach New York safely]
-
A.
countryTargeted
Indicates that a particular country is the intended object or focus of an action, operation, or influence.
-
B.
country1
Indicates that the subject entity is a country (or represents a country) in the given context.
-
C.
countryScope
Indicates that something is limited to, applicable within, or defined at the level of a specific country.
-
D.
marketRegion
Indicates the geographic or demographic area in which a product, service, or entity is actively marketed or targeted.
-
E.
objectiveOfUnitedStates
Indicates that something is an official objective or goal pursued by the United States.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5c011948190b2cfccd8fe722742 |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f0217081908268b3f47e72f8df |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a5bed20c81909ecc28bf42594e72 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:36 p.m.