Triple

T34244970
Position Surface form Disambiguated ID Type / Status
Subject Vizcaya Bridge E878570 entity
Predicate partOf P40 FINISHED
Object industrial heritage of the Basque Country
The industrial heritage of the Basque Country encompasses the region’s historic mines, factories, shipyards, transport infrastructures, and workers’ settlements that reflect its pivotal role in Spain’s industrialization.
E2086952 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: industrial heritage of the Basque Country | Statement: [Vizcaya Bridge, partOf, industrial heritage of the Basque Country]
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: industrial heritage of the Basque Country
Triple: [Vizcaya Bridge, partOf, industrial heritage of the Basque Country]
Generated description
The industrial heritage of the Basque Country encompasses the region’s historic mines, factories, shipyards, transport infrastructures, and workers’ settlements that reflect its pivotal role in Spain’s industrialization.

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_69f349b3618481909df955b063f305b2 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71281a4c8819088233c7ecdc63e8f completed May 3, 2026, 9:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36d5ef99c4819099973896168482a2 completed June 20, 2026, 6:03 p.m.
NEDg Description generation batch_6a36d684ddb481909f1f147c4d0dfcd7 completed June 20, 2026, 6:05 p.m.
NED2 Entity disambiguation (via description) batch_6a36d7085f048190a542289f6535e8da completed June 20, 2026, 6:08 p.m.
Created at: May 1, 2026, 1:56 a.m.