Triple

T7318626
Position Surface form Disambiguated ID Type / Status
Subject Mount Pangrango E168478 entity
Predicate locatedNearCity P3883 FINISHED
Object Sukabumi E181808 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: Sukabumi | Statement: [Mount Pangrango, locatedNearCity, Sukabumi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sukabumi
Context triple: [Mount Pangrango, locatedNearCity, Sukabumi]
  • A. Sukabumi chosen
    Sukabumi is a city in southwestern West Java, Indonesia, known for its cool climate, surrounding highlands, and proximity to popular natural attractions.
  • B. Sukabumi Regency
    Sukabumi Regency is an administrative region in West Java, Indonesia, known for its coastal areas, mountainous landscapes, and proximity to major urban centers like Bogor.
  • C. Brebes
    Brebes is a regency and major urban center in the northwestern part of Central Java, Indonesia, known for its agriculture and salted egg production.
  • D. Tasikmalaya
    Tasikmalaya is a significant city in West Java, Indonesia, known as an important cultural and economic hub for the Sundanese people.
  • E. Cimahi
    Cimahi is an urban city in Indonesia located near Bandung in the province of West Java, known historically as a military and training center.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef18b7bc81908a9ee405d684f304 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d67da5708190973ac88aa67e32b1 completed March 29, 2026, 7:36 a.m.
Created at: March 27, 2026, 3:02 p.m.