Triple
T30804017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | May Constitution of 1934 |
E784446
|
entity |
| Predicate | officialParty |
P114263
|
FINISHED |
| Object | Fatherland Front |
—
|
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: Fatherland Front | Statement: [May Constitution of 1934, officialParty, Fatherland Front]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialParty Context triple: [May Constitution of 1934, officialParty, Fatherland Front]
-
A.
politicalParty
Indicates that an entity is affiliated with, belongs to, or is a member of a specific political party.
-
B.
otherPoliticalParty
Indicates that an entity is affiliated with or represents a political party that is different from the primary or reference political party in the given context.
-
C.
hasGovernmentOfficialParty
Indicates that a government official is affiliated with or belongs to a specific political party.
-
D.
partyOrganization
Indicates that an entity is an organized group or body formed to participate collectively in a party-related context, such as politics, events, or social activities.
-
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_69f224b3a7ec819096939414d103e31e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
Created at: April 29, 2026, 8:42 p.m.