Triple

T11442654
Position Surface form Disambiguated ID Type / Status
Subject Jonker Street E271182 entity
Predicate alsoKnownAs P39 FINISHED
Object Jonker Walk E271182 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: Jonker Walk | Statement: [Jonker Street, alsoKnownAs, Jonker Walk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonker Walk
Context triple: [Jonker Street, alsoKnownAs, Jonker Walk]
  • A. Jonker Street chosen
    Jonker Street is a famous historic and cultural street in Malacca, Malaysia, renowned for its vibrant night market, antique shops, and local food.
  • B. Muntplein
    Muntplein is a central square in Amsterdam, known as a busy traffic hub near the historic city center and the Munttoren (Mint Tower).
  • C. Leven Promenade
    Leven Promenade is a coastal walkway and recreational seafront area in the town of Leven in Fife, Scotland.
  • D. Randburg Square
    Randburg Square is a popular shopping centre in Randburg, South Africa, featuring a variety of retail stores, services, and dining options for local shoppers.
  • E. Sarphatipark
    Sarphatipark is a popular 19th-century urban park in Amsterdam known for its green lawns, ponds, and relaxed neighborhood atmosphere.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d808891b7481908bf5a80cb7644061 completed April 9, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3a2a68481909704ef9a7f780afc completed April 20, 2026, 7:20 a.m.
Created at: April 8, 2026, 9:35 p.m.