Triple

T26507330
Position Surface form Disambiguated ID Type / Status
Subject Urumea River E669582 entity
Predicate hasBridge P386 FINISHED
Object Kursaal Bridge
Kursaal Bridge is a prominent multi-arched bridge in San Sebastián, Spain, known for its distinctive lampposts and for connecting the city center with the Kursaal Congress Centre across the Urumea River.
 E1778829 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: Kursaal Bridge | Statement: [Urumea River, hasBridge, Kursaal Bridge]
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: Kursaal Bridge
Triple: [Urumea River, hasBridge, Kursaal Bridge]
Generated description
Kursaal Bridge is a prominent multi-arched bridge in San Sebastián, Spain, known for its distinctive lampposts and for connecting the city center with the Kursaal Congress Centre across the Urumea River.

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_69eeb319ec70819090834c2591cf5f1e completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f6138e8f508190898b55c271967d95 completed May 2, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12c582b5c48190aef01df2e8f76b39 completed May 24, 2026, 9:31 a.m.
NEDg Description generation batch_6a12c69ac394819082dae768061147bd completed May 24, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_6a12c7295270819092a8b8ef0e3488a8 completed May 24, 2026, 9:38 a.m.
Created at: April 27, 2026, 1:17 a.m.