Triple

T20559881
Position Surface form Disambiguated ID Type / Status
Subject Pasar Gede E504817 entity
Predicate hasAlternativeName P39 FINISHED
Object Pasar Gede Hardjonagoro 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: Pasar Gede Hardjonagoro | Statement: [Pasar Gede, hasAlternativeName, Pasar Gede Hardjonagoro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasar Gede Hardjonagoro
Context triple: [Pasar Gede, hasAlternativeName, Pasar Gede Hardjonagoro]
  • A. Pasar Gede chosen
    Pasar Gede is a historic central market in Surakarta (Solo), Indonesia, known for its traditional Javanese architecture and wide variety of local foods and goods.
  • B. Balintawak Market
    Balintawak Market is a well-known public market in Quezon City, Metro Manila, recognized as a major hub for fresh produce and wholesale goods.
  • C. Pasar Rebo
    Pasar Rebo is a district in East Jakarta, Indonesia, known for its traditional market and residential neighborhoods.
  • D. Pancoran
    Pancoran is a district in South Jakarta, Indonesia, known for its busy commercial areas and the iconic Dirgantara Monument.
  • E. Beringharjo Market
    Beringharjo Market is a historic and bustling traditional market in Yogyakarta, Indonesia, known for its batik textiles, local foods, and everyday goods.
  • 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.