Triple
T37010338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitterskirchen |
E915924
|
entity |
| Predicate | hasTraditionalBavarianSetting |
P85831
|
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: [Mitterskirchen, hasTraditionalBavarianSetting, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalBavarianSetting Context triple: [Mitterskirchen, hasTraditionalBavarianSetting, true]
-
A.
hasTraditionalSettlementType
Indicates that an entity is associated with a specific traditional or historically established type of human settlement (e.g., village, town, hamlet).
-
B.
hasTraditionalAtmosphere
chosen
Indicates that something possesses a classic, customary, or historically rooted ambiance or mood, often reflecting long-established cultural or social practices.
-
C.
hasTraditionalCharm
Indicates that something possesses a classic, old-fashioned, or culturally rooted appeal that evokes nostalgia or heritage.
-
D.
hasTraditionalHouseStyle
Indicates that an entity possesses or is characterized by a traditional style of house or residential architecture.
-
E.
hasTraditionalFarmBuildings
Indicates that an entity possesses or includes buildings typically associated with traditional farming activities.
- 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_69f76e90ed548190b187d2475f5c807d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a0010e46d948190a51111b5270fade7 |
completed | May 10, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_6a001061d34c8190bfe73f3d7c061eb7 |
completed | May 10, 2026, 4:58 a.m. |
Created at: May 3, 2026, 4:14 p.m.