Triple
T88254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson Memorial |
E1773
|
entity |
| Predicate | commemoratesRoleAs |
P4096
|
FINISHED |
| Object | third 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: third president of the United States | Statement: [Jefferson Memorial, commemoratesRoleAs, third president of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commemoratesRoleAs Context triple: [Jefferson Memorial, commemoratesRoleAs, third president of the United States]
-
A.
commemoratedBy
Indicates that something is honored, remembered, or celebrated through a particular action, event, object, or representation.
-
B.
commemoratedOn
Indicates that something is remembered, honored, or celebrated on a specific date or occasion.
-
C.
ceremonialRole
Indicates that an entity holds a formal, often symbolic or honorific, position or function within a ceremony or ritual context.
-
D.
commemoratesToCountry
Indicates that something serves as a memorial or tribute to a particular country.
-
E.
commemoratesFromCountry
Indicates that one entity serves as a commemoration (such as a memorial, event, or honor) originating from or established by a specified country.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a2503d304c8190a0034ffa4a38a501 |
completed | Feb. 28, 2026, 2:17 a.m. |
| PD | Predicate disambiguation | batch_69a24eb6da2c8190a33d144d219f7abe |
completed | Feb. 28, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_69a2503c12808190a3cbb7b171f466f0 |
completed | Feb. 28, 2026, 2:17 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.