Triple
T1070337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erzhausen |
E23310
|
entity |
| Predicate | hasLevelOfAdministrativeDivision |
P275
|
FINISHED |
| Object | local municipality |
—
|
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: local municipality | Statement: [Erzhausen, hasLevelOfAdministrativeDivision, local municipality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLevelOfAdministrativeDivision Context triple: [Erzhausen, hasLevelOfAdministrativeDivision, local municipality]
-
A.
hasDivisionLevel
chosen
Indicates that one entity is associated with a specific hierarchical or organizational division level of another entity.
-
B.
hasAdministrativeArea
Indicates that one entity serves as the governing or jurisdictional area responsible for administering another entity.
-
C.
containsAdministrativeTerritory
Indicates that one administrative unit geographically or jurisdictionally includes another administrative territory within its boundaries.
-
D.
jurisdictionLevel
Indicates the scope or tier of authority under which an entity or action is legally governed or regulated.
-
E.
hasSubdivision
Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b914b4908190886d6698294c6b5b |
completed | March 1, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69a4b73844708190a16c9e9824ca2fb6 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.