Triple

T28141533
Position Surface form Disambiguated ID Type / Status
Subject Fern Pass E714353 entity
Predicate distanceFromGermanBorder P107919 FINISHED
Object about 25 km south 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: about 25 km south | Statement: [Fern Pass, distanceFromGermanBorder, about 25 km south]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distanceFromGermanBorder
Context triple: [Fern Pass, distanceFromGermanBorder, about 25 km south]
  • A. borderDistanceToGermany chosen
    Indicates the distance between an entity’s border and the border of Germany.
  • B. distanceToRussianBorder_km
    Indicates the physical distance, measured in kilometers, between a given location and the nearest point on the Russian border.
  • C. distanceToPolishBorder
    Indicates the measured distance between a given location and the nearest point on the border of Poland.
  • D. distanceToBulgarianBorder_km
    Indicates the distance, measured in kilometers, from a given location to the nearest point on the Bulgarian national border.
  • E. EUInternalBorder
    Indicates that a border lies between two member states within the European Union, where internal EU border rules apply.
  • 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_69efd6af156c81908f50c2cd7db0e1ef completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69ffbf84f4948190b41a7bba07ae61ec completed May 9, 2026, 11:13 p.m.
PD Predicate disambiguation batch_69ffbf0a59f88190870dbe25d8a63a00 completed May 9, 2026, 11:11 p.m.
Created at: April 27, 2026, 9:53 p.m.