Triple

T20559865
Position Surface form Disambiguated ID Type / Status
Subject Pasar Klewer E504816 entity
Predicate regionSpeciality P21480 FINISHED
Object Solo batik NE NERFINISHED

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: Solo batik | Statement: [Pasar Klewer, regionSpeciality, Solo batik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solo batik
Context triple: [Pasar Klewer, regionSpeciality, Solo batik]
  • A. Solo Batik Carnival
    Solo Batik Carnival is an annual cultural parade in Surakarta, Indonesia, showcasing elaborate costumes and performances that celebrate the city’s rich batik heritage.
  • B. BATIK
    BATIK is the radio callsign used by Batik Air, an Indonesian full-service airline operating domestic and international flights.
  • C. Batik chosen
    Batik is a traditional Indonesian textile art characterized by intricate patterns created through a wax-resist dyeing technique.
  • D. Bingata dyeing
    Bingata dyeing is a traditional Ryukyuan textile art known for its vivid, multicolored stencil-dyed patterns on fabric, often featuring nature-inspired motifs.
  • E. Sambalpuri ikat
    Sambalpuri ikat is a traditional handwoven textile from western Odisha, India, renowned for its intricate tie-dye patterns and vibrant cultural motifs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a79d93148190b038814af0a4649a completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:38 a.m.