Triple

T21034438
Position Surface form Disambiguated ID Type / Status
Subject Slovanský Island E518152 entity
Predicate hasAlternativeName P39 FINISHED
Object Zofin Island
Zofin Island is a small island on the Vltava River in central Prague, known for its historic Neo-Renaissance Žofín Palace and role as a prominent cultural and social venue.
E2287491 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: Zofin Island | Statement: [Slovanský Island, hasAlternativeName, Zofin Island]
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: Zofin Island
Triple: [Slovanský Island, hasAlternativeName, Zofin Island]
Generated description
Zofin Island is a small island on the Vltava River in central Prague, known for its historic Neo-Renaissance Žofín Palace and role as a prominent cultural and social venue.

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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc84b4ac8190bcee5fbba730b499 completed April 21, 2026, 4:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a59f5a7ecf881909d6c7650b36c1bc9 completed July 17, 2026, 9:28 a.m.
NEDg Description generation batch_6a59f618aaf481909199c04845e70e44 completed July 17, 2026, 9:30 a.m.
NED2 Entity disambiguation (via description) batch_6a59f66d86e88190a0a9efb7aa940b28 completed July 17, 2026, 9:31 a.m.
Created at: April 16, 2026, 2:01 p.m.