Triple

T34144253
Position Surface form Disambiguated ID Type / Status
Subject Camino Inglés E875804 entity
Predicate hasRouteVariant P455 FINISHED
Object A Coruña–Santiago route
The A Coruña–Santiago route is a northern variant of the Camino Inglés pilgrimage, linking the Galician port city of A Coruña with Santiago de Compostela.
E2084086 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: A Coruña–Santiago route | Statement: [Camino Inglés, hasRouteVariant, A Coruña–Santiago route]
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: A Coruña–Santiago route
Triple: [Camino Inglés, hasRouteVariant, A Coruña–Santiago route]
Generated description
The A Coruña–Santiago route is a northern variant of the Camino Inglés pilgrimage, linking the Galician port city of A Coruña with Santiago de Compostela.

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_69f349aaeef08190a20e72a3fdeb7052 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70f8fd0348190bbf808abc0d350e9 completed May 3, 2026, 9:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36c1c6d8308190b840cf440b76c92e completed June 20, 2026, 4:37 p.m.
NEDg Description generation batch_6a36c2e1be00819083470c7cc298eab4 completed June 20, 2026, 4:42 p.m.
NED2 Entity disambiguation (via description) batch_6a36c4729f188190b4a5558b840d8506 completed June 20, 2026, 4:48 p.m.
Created at: May 1, 2026, 1:54 a.m.