Triple

T26324973
Position Surface form Disambiguated ID Type / Status
Subject Barania Góra E662225 entity
Predicate hasTrailFrom P98918 FINISHED
Object Wisła Czarne
Wisła Czarne is a district of the town of Wisła in southern Poland, known as a starting point for hiking routes into the Silesian Beskids, including trails up Barania Góra.
 E690074 NE FINISHED

How this triple was built (3 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: Wisła Czarne | Statement: [Barania Góra, hasTrailFrom, Wisła Czarne]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wisła Czarne
Triple: [Barania Góra, hasTrailFrom, Wisła Czarne]
Generated description
Wisła Czarne is a district of the town of Wisła in southern Poland, known as a starting point for hiking routes into the Silesian Beskids, including trails up Barania Góra.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasTrailFrom
Context triple: [Barania Góra, hasTrailFrom, Wisła Czarne]
  • A. hasTrail
    Indicates that an entity possesses, includes, or is associated with a trail or pathway.
  • B. hasTrailConnection
    Indicates that one location is connected to another by a traversable trail or path.
  • C. hasTrailDestination
    Indicates that a trail leads to or ends at a particular destination.
  • D. hasTrailOrigin chosen
    Indicates that a trail begins or originates from a specified location or entity.
  • E. hasTrailType
    Indicates that an entity (such as a trail or route) is associated with a specific type or category of trail.
  • F. None of above.

Provenance (6 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_69ee812f32748190871d970c4e2a8ddf completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f74c70fd248190a9d5543afcb08211 completed May 3, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12624401e0819096b13d978dda7847 completed May 24, 2026, 2:28 a.m.
NEDg Description generation batch_6a12681f2d8081909e43fe4d68db0d6c completed May 24, 2026, 2:53 a.m.
NED2 Entity disambiguation (via description) batch_6a12686fafc881909b7ee32a1b4b7ff8 completed May 24, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69f7478e3b548190a51d5d436e2bb036 completed May 3, 2026, 1:03 p.m.
Created at: April 26, 2026, 10:30 p.m.