Triple
T31327997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prittriching (partly) |
E798942
|
entity |
| Predicate | isPortionOfMunicipalityInDifferentDistrict |
P171249
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Prittriching (partly), isPortionOfMunicipalityInDifferentDistrict, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPortionOfMunicipalityInDifferentDistrict Context triple: [Prittriching (partly), isPortionOfMunicipalityInDifferentDistrict, true]
-
A.
hasMunicipalPart
Indicates that an administrative or territorial entity includes a municipality as one of its constituent parts.
-
B.
isInnerDistrictOf
Indicates that one district is geographically or administratively located within and subordinate to another, larger district.
-
C.
geographicallySeparatedDistrictOf
Indicates that one district is a non-contiguous, physically separate part of another district or administrative area.
-
D.
containsDistrictMunicipality
Indicates that an administrative region includes one or more district municipalities within its boundaries.
-
E.
hasMunicipalDistrict
Indicates that an administrative entity includes or is divided into one or more municipal districts as its subordinate units.
- 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_69f224e3238c8190b2291f50ea4962cd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f11ba548190b8ad25fafb07b62b |
completed | May 3, 2026, 1:04 a.m. |
| PD | Predicate disambiguation | batch_69f69d1d25e88190a7f57d323574da90 |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69ea761848190acb31298e65b7892 |
completed | May 3, 2026, 1:02 a.m. |
Created at: April 29, 2026, 9:16 p.m.