Triple
T18521658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steinheim meteorite crater |
E452596
|
entity |
| Predicate | hasEducationalTrails |
P53927
|
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: [Steinheim meteorite crater, hasEducationalTrails, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationalTrails Context triple: [Steinheim meteorite crater, hasEducationalTrails, true]
-
A.
hasInterpretiveTrails
chosen
Indicates that an entity provides or features designated trails accompanied by informational or educational materials to help visitors interpret and understand the surroundings.
-
B.
hasOutdoorEducation
Indicates that an entity provides, includes, or is associated with educational activities or programs conducted in outdoor or natural environments.
-
C.
hasTrailheads
Indicates that one location or area contains or provides access points where trails begin.
-
D.
showsTrails
Indicates that one entity visually displays or renders the trails or paths associated with another entity.
-
E.
hasRecreationalRoute
Indicates that an entity is associated with or includes a route intended for recreational activities such as walking, cycling, or hiking.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5338e6e188190a41a4ee12c1ad330 |
completed | April 19, 2026, 7:57 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:37 a.m.