Triple
T9411324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 59th United States Congress |
E226713
|
entity |
| Predicate | hasMinorParty |
P89017
|
FINISHED |
| Object | various third parties |
—
|
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: various third parties | Statement: [59th United States Congress, hasMinorParty, various third parties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMinorParty Context triple: [59th United States Congress, hasMinorParty, various third parties]
-
A.
hasMinorityPartyMembers
Indicates that the subject includes or is associated with members belonging to a minority political party.
-
B.
hasMajorParties
Indicates that an entity is associated with its primary participating parties or main involved groups.
-
C.
hasMajorPartyCandidate
Indicates that an election, race, or contest includes at least one candidate representing a major political party.
-
D.
hasMajorityPartyMembers
Indicates that a group, body, or organization contains more members from a particular political party than from any other party, giving that party majority representation.
-
E.
wasMajorPartyDuring
Indicates that an entity functioned as a major political party during a specified time period or event.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd525785d48190a76c9940712e093a |
completed | April 1, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69cca54c37f88190bddccf28e5fe5c84 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca9d07eb08190866eb15333386dfa |
completed | April 1, 2026, 5:14 a.m. |
Created at: March 30, 2026, 7:47 p.m.