Triple
T2813088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MV |
E54217
|
entity |
| Predicate | associatedWithCountrySubdivision |
P21614
|
FINISHED |
| Object | German federal state |
—
|
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: German federal state | Statement: [MV, associatedWithCountrySubdivision, German federal state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCountrySubdivision Context triple: [MV, associatedWithCountrySubdivision, German federal state]
-
A.
meetsInCountrySubdivision
Indicates that two or more entities meet or have a meeting within a specific administrative subdivision of a country (such as a state, province, or region).
-
B.
countrySubdivisionStandardLink
Indicates a reference or link to the standard or authoritative specification that defines the country’s internal subdivisions.
-
C.
associatedWithNationality
Indicates that one entity has a connection or affiliation with the nationality of another entity.
-
D.
hasTerritorialAssociation
chosen
Indicates a relationship where an entity is linked or connected to a specific territory, area, or geographic region.
-
E.
countrySubdivision
Indicates that one geopolitical region is an administrative or territorial subdivision of a larger country.
- 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde4a31d081909377044d5ff791b0 |
completed | March 7, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69abdd0740208190911dc9c9546a79ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.