Triple

T30508968
Position Surface form Disambiguated ID Type / Status
Subject Zubizuri E776355 entity
Predicate alsoKnownAs P39 FINISHED
Object Calatrava Bridge (Bilbao)
Calatrava Bridge (Bilbao) is a distinctive white arch footbridge over the Nervión River in Bilbao, Spain, designed by architect Santiago Calatrava and known locally as Zubizuri.
E1918362 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: Calatrava Bridge (Bilbao) | Statement: [Zubizuri, alsoKnownAs, Calatrava Bridge (Bilbao)]
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: Calatrava Bridge (Bilbao)
Triple: [Zubizuri, alsoKnownAs, Calatrava Bridge (Bilbao)]
Generated description
Calatrava Bridge (Bilbao) is a distinctive white arch footbridge over the Nervión River in Bilbao, Spain, designed by architect Santiago Calatrava and known locally as Zubizuri.

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_69f2249a155c8190b1d512106007e9bb completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f687b7779881908df17968bf9cd50d completed May 2, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27ac394d4c8190b996f4010d88853d completed June 9, 2026, 6:01 a.m.
NEDg Description generation batch_6a27acef0d7481908899cea092a71c89 completed June 9, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a27b605cb7081908d5e7d9110812466 completed June 9, 2026, 6:43 a.m.
Created at: April 29, 2026, 8:16 p.m.