Triple
T30017947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Höllentalferner |
E762646
|
entity |
| Predicate | countryHighestPeakAccess |
P95958
|
FINISHED |
| Object | Germany’s highest peak, the Zugspitze |
—
|
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: Germany’s highest peak, the Zugspitze | Statement: [Höllentalferner, countryHighestPeakAccess, Germany’s highest peak, the Zugspitze]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryHighestPeakAccess Context triple: [Höllentalferner, countryHighestPeakAccess, Germany’s highest peak, the Zugspitze]
-
A.
countryHighestPeak
Indicates that a given peak is the tallest mountain within the specified country.
-
B.
countryHighestPointAccess
chosen
Indicates that an entity has access to, or the ability to reach or utilize, the highest geographical point within a specified country.
-
C.
mountainHeight
Indicates the vertical elevation or height of a mountain, typically measured from sea level.
-
D.
politicalPeak
Indicates the time or position at which an entity reaches its highest level of political power, influence, or prominence.
-
E.
hasHighestPeakHeight
Indicates that the subject entity possesses the greatest peak height compared to all other relevant entities in the given context.
- 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_69f2246b0c84819094f1250b6a02d277 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69ff49016dcc8190a8a43868c728b4f1 |
completed | May 9, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69ff4891924c8190b5be340e2520e012 |
completed | May 9, 2026, 2:45 p.m. |
Created at: April 29, 2026, 6:46 p.m.