Triple
T29874884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dülmen |
E758699
|
entity |
| Predicate | hasWildHorsePopulation |
P30476
|
FINISHED |
| Object | Dülmen ponies |
—
|
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: Dülmen ponies | Statement: [Dülmen, hasWildHorsePopulation, Dülmen ponies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWildHorsePopulation Context triple: [Dülmen, hasWildHorsePopulation, Dülmen ponies]
-
A.
hasWildPopulation
Indicates that an entity has a population existing in natural, non-captive conditions in the wild.
-
B.
hasWildPopulationOf
chosen
Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
-
C.
hasWildlifeStatus
Indicates the conservation or protection status assigned to wildlife associated with an entity.
-
D.
hasWildlifeRegion
Indicates that an entity is associated with or located within a designated wildlife region or habitat area.
-
E.
hasMajorWildlife
Indicates that a location or area supports significant populations or habitats of important wildlife species.
- 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_69f2245d0d7081909e37ee328542bcd7 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 29, 2026, 5:55 p.m.