Triple

T35428572
Position Surface form Disambiguated ID Type / Status
Subject Athens–Thessaloniki railway E1023988 entity
Predicate isRouteOf P30511 FINISHED
Object Athens–Thessaloniki high-speed services
Athens–Thessaloniki high-speed services are fast intercity passenger train operations in Greece that connect the capital Athens with the northern city of Thessaloniki.
E1023988 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: Athens–Thessaloniki high-speed services | Statement: [Athens–Thessaloniki railway, isRouteOf, Athens–Thessaloniki high-speed services]
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: Athens–Thessaloniki high-speed services
Triple: [Athens–Thessaloniki railway, isRouteOf, Athens–Thessaloniki high-speed services]
Generated description
Athens–Thessaloniki high-speed services are fast intercity passenger train operations in Greece that connect the capital Athens with the northern city of Thessaloniki.

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_69f76df6704081909900c60be10d5849 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79594d5108190834a4aada235ed31 completed May 3, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3840281410819098a29a5e25d463bc completed June 21, 2026, 7:48 p.m.
NEDg Description generation batch_6a384411ffd88190ba14b82e2761ffd4 completed June 21, 2026, 8:05 p.m.
NED2 Entity disambiguation (via description) batch_6a3844e035108190bcd8ce7fc966cbd7 completed June 21, 2026, 8:09 p.m.
Created at: May 3, 2026, 4:03 p.m.