Triple
T26220631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serengeti Park Hodenhagen |
E655754
|
entity |
| Predicate | hasDriveThroughSafari |
P160983
|
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: [Serengeti Park Hodenhagen, hasDriveThroughSafari, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDriveThroughSafari Context triple: [Serengeti Park Hodenhagen, hasDriveThroughSafari, true]
-
A.
hasDriveThroughLocations
Indicates that an entity operates or includes locations where customers can receive services or make purchases without leaving their vehicles.
-
B.
hasNotableDriver
Indicates that an entity is associated with a driver who is notable or distinguished in some recognized way.
-
C.
isDriven
Indicates that one entity operates or controls the movement of another entity, typically a vehicle or device.
-
D.
canDrive
Indicates that one entity has the ability or permission to operate a vehicle or drive another entity.
-
E.
hasDriver
Indicates that an entity is operated, controlled, or driven by a specific person or agent.
- 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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60dfaeebc8190ac01d3a0030acf55 |
completed | May 2, 2026, 2:45 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60c68b02c8190870758d79cdec68b |
completed | May 2, 2026, 2:38 p.m. |
Created at: April 26, 2026, 8:56 p.m.