Triple

T26672627
Position Surface form Disambiguated ID Type / Status
Subject Srbija Voz E672373 entity
Predicate hasRoute P4374 FINISHED
Object Belgrade–Vršac
Belgrade–Vršac is a regional railway line in Serbia connecting the capital city Belgrade with the town of Vršac near the Romanian border.
 E1758153 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: Belgrade–Vršac | Statement: [Srbija Voz, hasRoute, Belgrade–Vršac]
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: Belgrade–Vršac
Triple: [Srbija Voz, hasRoute, Belgrade–Vršac]
Generated description
Belgrade–Vršac is a regional railway line in Serbia connecting the capital city Belgrade with the town of Vršac near the Romanian border.

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_69eecda00a9c8190b2691f4d89db03b6 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f6170129f88190a8d34212c7e030a4 completed May 2, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1247da11e0819098453bb1d50bb12b completed May 24, 2026, 12:35 a.m.
NEDg Description generation batch_6a1249b3e9888190b3bae29310007be4 completed May 24, 2026, 12:43 a.m.
NED2 Entity disambiguation (via description) batch_6a124a849c3c81908f1b3acdbaed65f8 completed May 24, 2026, 12:47 a.m.
Created at: April 27, 2026, 3:13 a.m.