Triple
T12160930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of La Angostura |
E289702
|
entity |
| Predicate | ZacharyTaylorLaterRole |
P103274
|
FINISHED |
| Object | 12th President of the United States |
—
|
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: 12th President of the United States | Statement: [Battle of La Angostura, ZacharyTaylorLaterRole, 12th President of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ZacharyTaylorLaterRole Context triple: [Battle of La Angostura, ZacharyTaylorLaterRole, 12th President of the United States]
-
A.
endOfFirstPresidency
Indicates the point in time when an entity’s first term in a presidential office concludes.
-
B.
GeorgeWashingtonRole
Indicates the role, position, or office that George Washington held in a given context.
-
C.
wasFirstPresidentAfter
Indicates that one entity served as the first president immediately following another specified entity.
-
D.
lastAdministeringPower
Indicates the authority or governing body that most recently exercised administrative control over an entity or territory.
-
E.
Daniel D. Tompkins
Indicates a relationship or action involving the entity named “Daniel D. Tompkins,” though the specific nature of the relationship is unclear without additional context.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d915d58ab881908b5b7901990308a4 |
completed | April 10, 2026, 3:23 p.m. |
Created at: April 8, 2026, 9:50 p.m.