Triple
T1119401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obama Presidential Center |
E11174
|
entity |
| Predicate | physicalPresidentialLibrary |
P25178
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Obama Presidential Center, physicalPresidentialLibrary, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: physicalPresidentialLibrary Context triple: [Obama Presidential Center, physicalPresidentialLibrary, no]
-
A.
homeOfPresident
Indicates the location that serves as the residence of a president.
-
B.
presidentialNumber
Indicates the ordinal position a person holds in a sequence of presidents (e.g., first, second, third president).
-
C.
presidentialAdministration
Indicates that one entity serves as the presidential administration (the governing executive leadership and its term) associated with another entity, such as a country or government.
-
D.
onlyPresident
Indicates that the subject is the sole individual holding the role of president within a given context or organization.
-
E.
hasPresident
Indicates that an entity holds the position or role of president for another entity.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4562f48190831e959f5f309956 |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bc47fce48190825d3a877251f789 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:43 p.m.