Triple

T22466913
Position Surface form Disambiguated ID Type / Status
Subject Taman Ujung E555379 entity
Predicate hasAlternativeName P39 FINISHED
Object Taman Soekasada Ujung 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: Taman Soekasada Ujung | Statement: [Taman Ujung, hasAlternativeName, Taman Soekasada Ujung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taman Soekasada Ujung
Context triple: [Taman Ujung, hasAlternativeName, Taman Soekasada Ujung]
  • A. Taman Ujung chosen
    Taman Ujung is a historic water palace and scenic royal garden complex in eastern Bali, Indonesia, known for its ornate pools, pavilions, and ocean views.
  • B. Djuanda Forest Park
    Djuanda Forest Park is a large conservation and recreational forest area in Bandung, Indonesia, known for its natural scenery, caves, and historical sites.
  • C. Taman Nusa Bestari
    Taman Nusa Bestari is a residential and commercial township located near Skudai in Johor, Malaysia.
  • D. Taman Lembah Maju
    Taman Lembah Maju is a residential neighborhood located within the municipality of Ampang Jaya in Selangor, Malaysia.
  • E. Taman Pandan Indah
    Taman Pandan Indah is a residential and commercial neighborhood located within the municipality of Ampang Jaya in Selangor, Malaysia.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b84e4a88190b6fbfdbd754ba1c5 completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.