Triple

T10066062
Position Surface form Disambiguated ID Type / Status
Subject Lebak Regency E213104 entity
Predicate sharesBorderWith P224 FINISHED
Object Tangerang Regency E838543 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: Tangerang Regency | Statement: [Lebak Regency, sharesBorderWith, Tangerang Regency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tangerang Regency
Context triple: [Lebak Regency, sharesBorderWith, Tangerang Regency]
  • A. Tangerang Regency chosen
    Tangerang Regency is an administrative region in Banten Province, Indonesia, known for its rapidly growing urban and industrial areas on the western outskirts of Jakarta.
  • B. Tangerang
    Tangerang is a major urban and industrial city in Indonesia located just west of Jakarta on the island of Java.
  • C. Serang Regency
    Serang Regency is a regency in Banten Province on the western part of Java, Indonesia, known for its coastal areas along the Sunda Strait and proximity to major industrial and port regions.
  • D. Banten Regency
    Banten Regency is an administrative region in Indonesia’s Banten Province that encompasses the historic area of Old Banten, once the center of the powerful Banten Sultanate.
  • E. Cilegon
    Cilegon is an industrial port city in western Java, Indonesia, known for its steel industry and strategic location near the Sunda Strait.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff51b108190b6759f651d4ba2d2 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32a950bc081909699d6bb31935cbd completed April 6, 2026, 3:37 a.m.
Created at: March 30, 2026, 8:58 p.m.