Triple
T29810927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allgäu Alps cultural landscape |
E756960
|
entity |
| Predicate | partlyLocatedInCountry |
P108371
|
FINISHED |
| Object | Austria |
—
|
NE NERFINISHED |
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: Austria | Statement: [Allgäu Alps cultural landscape, partlyLocatedInCountry, Austria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partlyLocatedInCountry Context triple: [Allgäu Alps cultural landscape, partlyLocatedInCountry, Austria]
-
A.
partlyLocatedOn
Indicates that one entity is situated such that only a portion of it lies on or within the spatial extent of another entity.
-
B.
hasPartInCountry
chosen
Indicates that an entity has a component, section, or portion that is located within a specified country.
-
C.
partlyInAdministrativeArea
Indicates that an entity is located such that only a portion of it lies within a specified administrative area (e.g., a city, county, or region).
-
D.
partlyLocatedNear
Indicates that one entity is situated near another, but only a portion or subset of it lies within that nearby area.
-
E.
sometimesLocatedIn
Indicates that an entity is located in a given place only at certain times or under certain conditions, rather than permanently or always.
- 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_69f2245584848190ad4cab1f07752ccb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67f7efc3c8190986d2d95b7a23729 |
completed | May 2, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 5:23 p.m.