Triple
T20760132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Monroe’s Highland |
E510955
|
entity |
| Predicate | acquiredByJamesMonroe |
P141396
|
FINISHED |
| Object | 1793 |
—
|
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: 1793 | Statement: [James Monroe’s Highland, acquiredByJamesMonroe, 1793]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquiredByJamesMonroe Context triple: [James Monroe’s Highland, acquiredByJamesMonroe, 1793]
-
A.
statesCarriedByJamesMonroe
Indicates that the referenced states were carried (won) by James Monroe in a given election.
-
B.
wasAcquiredByUSAThrough
Indicates that something came under the ownership, control, or sovereignty of the USA by means of a specified acquisition process or event.
-
C.
firstPresidentUnder
Indicates that one entity is the first president to serve under, or within the tenure or authority of, another entity (such as a country, organization, or regime).
-
D.
wasFirstPresidentAfter
Indicates that one entity served as the first president immediately following another specified entity.
-
E.
foundingPresident
Indicates that the subject is the person who originally established an organization, institution, or entity and served as its first president.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c248701081908ae49fca933e05f6 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:35 p.m.