Triple
T34815842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America's Mayor |
E1003633
|
entity |
| Predicate | linkedToPoliticalParty |
P114263
|
FINISHED |
| Object | Republican Party (United States) |
—
|
NE NERFINISHED |
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: Republican Party (United States) | Statement: [America's Mayor, linkedToPoliticalParty, Republican Party (United States)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToPoliticalParty Context triple: [America's Mayor, linkedToPoliticalParty, Republican Party (United States)]
-
A.
associatedWithPoliticalPartyOfNameBearer
Indicates that an entity is connected or affiliated with the political party to which the referenced name bearer belongs.
-
B.
registeredAsPoliticalParty
Indicates that an entity is officially recorded and recognized as a political party by the relevant authority or registry.
-
C.
partnerPoliticalAffiliation
Indicates that one entity has a political affiliation that is associated with, or shared by, its partner entity.
-
D.
namedForPoliticalParty
Indicates that an entity is named after or in honor of a specific political party.
-
E.
subjectPoliticalParty
chosen
Indicates the political party with which the subject is formally affiliated or identified.
- F. None of above.
Provenance (3 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_69f76db717088190811b4e744610f37d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fe629b4fa481908467c7c41b77f0c6 |
completed | May 8, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69fe61bb260c819083f9378a3a06ca47 |
completed | May 8, 2026, 10:20 p.m. |
Created at: May 3, 2026, 3:59 p.m.