Triple

T34864504
Position Surface form Disambiguated ID Type / Status
Subject Pan-European Corridor III E1004974 entity
Predicate railComponentIncludes P49311 FINISHED
Object Kraków–Lviv–Kyiv railway line
The Kraków–Lviv–Kyiv railway line is a major international rail route linking southern Poland with western and central Ukraine, forming part of a key trans-European transport corridor.
E2117775 NE 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: Kraków–Lviv–Kyiv railway line | Statement: [Pan-European Corridor III, railComponentIncludes, Kraków–Lviv–Kyiv railway line]
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: Kraków–Lviv–Kyiv railway line
Triple: [Pan-European Corridor III, railComponentIncludes, Kraków–Lviv–Kyiv railway line]
Generated description
The Kraków–Lviv–Kyiv railway line is a major international rail route linking southern Poland with western and central Ukraine, forming part of a key trans-European transport corridor.

Provenance (5 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_69f76dbb678081909a247b9b5e1a73ac completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7817fb7808190879df16fbdac5809 completed May 3, 2026, 5:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3786d0ea648190a735682a87493eff completed June 21, 2026, 6:38 a.m.
NEDg Description generation batch_6a3787a11bd48190a72d4382e2ad5e32 completed June 21, 2026, 6:41 a.m.
NED2 Entity disambiguation (via description) batch_6a378832f8c88190941a0758cc5cfd86 completed June 21, 2026, 6:44 a.m.
Created at: May 3, 2026, 4 p.m.