Triple
T35785294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President Polk’s Home |
E1034547
|
entity |
| Predicate | linkedToPresidentNumber |
P197432
|
FINISHED |
| Object | 11 |
—
|
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: 11 | Statement: [President Polk’s Home, linkedToPresidentNumber, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToPresidentNumber Context triple: [President Polk’s Home, linkedToPresidentNumber, 11]
-
A.
presidentialNumber
Indicates the ordinal position a person holds in a sequence of presidents (e.g., first, second, third president).
-
B.
termRelationToPresident
Indicates the nature of a person’s connection or role in relation to a president, such as their position, association, or involvement with that president.
-
C.
vicePresidentNumber
Indicates the ordinal position or numerical designation of an individual serving in the role of vice president within a given organization or context.
-
D.
presidentNumberElected
Indicates the ordinal number corresponding to the sequence in which a person was elected president.
-
E.
hasPresidentialConnection
Indicates that there exists a notable relationship, association, or link between an entity and a president or presidential office.
- 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_69f76e1575908190aaa306d843b41c14 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe91383a1c81909266e40c3c3ede6c |
completed | May 9, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69fe8fde094081908f0f121664fbb5c7 |
completed | May 9, 2026, 1:37 a.m. |
| PDg | Predicate description generation | batch_69fe9137730c81909d1d57c30566c89a |
completed | May 9, 2026, 1:43 a.m. |
Created at: May 3, 2026, 4:06 p.m.