Triple

T29525532
Position Surface form Disambiguated ID Type / Status
Subject Greek National Road network E749057 entity
Predicate hasPart P35 FINISHED
Object Greek National Road 24
Greek National Road 24 is a major roadway in Greece that connects the city of Thessaloniki with the Chalkidiki peninsula, serving as a key route for regional traffic and tourism.
E1923413 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: Greek National Road 24 | Statement: [Greek National Road network, hasPart, Greek National Road 24]
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: Greek National Road 24
Triple: [Greek National Road network, hasPart, Greek National Road 24]
Generated description
Greek National Road 24 is a major roadway in Greece that connects the city of Thessaloniki with the Chalkidiki peninsula, serving as a key route for regional traffic and tourism.

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_69f0bd46d99c81908ba9d01cc1dbef7d completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66c9c43c081908f30ae295f032c95 completed May 2, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2863b20330819099d28758d671d671 completed June 9, 2026, 7:04 p.m.
NEDg Description generation batch_6a28665039188190bc740e2c06577120 completed June 9, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_6a286746f5a081908fd084cfca632960 completed June 9, 2026, 7:19 p.m.
Created at: April 28, 2026, 4:45 p.m.