Triple
T32593244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malchow (Berlin) |
E833127
|
entity |
| Predicate | hasVillageLikeCharacter |
P191708
|
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: [Malchow (Berlin), hasVillageLikeCharacter, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVillageLikeCharacter Context triple: [Malchow (Berlin), hasVillageLikeCharacter, true]
-
A.
hasVillage
Indicates that an entity possesses, contains, or is associated with a village.
-
B.
isVillage
Indicates that the subject entity is classified as a village, typically a small human settlement or community.
-
C.
hasVillageChurchCharacter
Indicates that something possesses the qualities or characteristics typically associated with a village church.
-
D.
isInVillage
Indicates that one entity is located within or belongs to the area defined as a village in relation to another entity.
-
E.
hasSmallTownCharacter
Indicates that something possesses the qualities or atmosphere typically associated with a small town, such as intimacy, familiarity, and a close-knit community feel.
- 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_69f34929ff648190aded9424aa7564ae |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69fce76669408190b1beef8899a8a5e2 |
completed | May 7, 2026, 7:26 p.m. |
Created at: May 1, 2026, 1:05 a.m.