Triple
T28742052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarre-Union |
E731269
|
entity |
| Predicate | hasNearbyNaturalRegion |
P73654
|
FINISHED |
| Object | Vosges foothills |
—
|
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: Vosges foothills | Statement: [Sarre-Union, hasNearbyNaturalRegion, Vosges foothills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyNaturalRegion Context triple: [Sarre-Union, hasNearbyNaturalRegion, Vosges foothills]
-
A.
nearNaturalRegion
chosen
Indicates that one entity is located close to a specified natural region or area in geographic space.
-
B.
hasNearbyNatureReserve
Indicates that one place or entity is located close to a designated nature reserve.
-
C.
hasNaturalAreaType
Indicates that an entity is associated with or classified by a specific type of natural area (e.g., forest, wetland, grassland).
-
D.
hasNearbyLakeRegion
Indicates that one region is located close to a lake or lake-dominated area.
-
E.
hasNaturalParkNearby
Indicates that one entity is located close to, or in the vicinity of, a natural park associated with the other entity.
- 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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
Created at: April 28, 2026, 6:03 a.m.