Triple

T35593041
Position Surface form Disambiguated ID Type / Status
Subject İzmir E1028552 entity
Predicate hasFestival P3113 FINISHED
Object International İzmir Festival
The International İzmir Festival is a major annual arts and culture event in İzmir, Turkey, featuring classical music, opera, ballet, and other performances by renowned international and local artists.
E2147093 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: International İzmir Festival | Statement: [İzmir, hasFestival, International İzmir Festival]
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: International İzmir Festival
Triple: [İzmir, hasFestival, International İzmir Festival]
Generated description
The International İzmir Festival is a major annual arts and culture event in İzmir, Turkey, featuring classical music, opera, ballet, and other performances by renowned international and local artists.

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_69f76e0598dc8190a6a093e904b9aa70 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79ea59b6c81909ca9584eb9618692 completed May 3, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a385bdb19fc8190aef5494aa5f02d31 completed June 21, 2026, 9:47 p.m.
NEDg Description generation batch_6a385ca70cc08190abfd88ab51828c9f completed June 21, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_6a385d704a348190ba1e2de0a90f11f7 completed June 21, 2026, 9:53 p.m.
Created at: May 3, 2026, 4:05 p.m.