Triple

T22113415
Position Surface form Disambiguated ID Type / Status
Subject Batujajar E546474 entity
Predicate regencySeat P71777 FINISHED
Object Ngamprah 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: Ngamprah | Statement: [Batujajar, regencySeat, Ngamprah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngamprah
Context triple: [Batujajar, regencySeat, Ngamprah]
  • A. Ngamprah chosen
    Ngamprah is an administrative town in West Java, Indonesia, serving as the governmental and economic center of West Bandung Regency.
  • B. Sembrong
    Sembrong is a federal parliamentary constituency in the state of Johor, Malaysia.
  • C. Pakualaman
    Pakualaman is a small hereditary Javanese princely state and court within Yogyakarta, established in the 19th century as a minor parallel to the main sultanate.
  • D. Pangcah
    Pangcah is the self-designation of the Amis, one of the largest Indigenous Austronesian peoples of Taiwan, known for their distinct language and rich cultural traditions.
  • E. Tumpang
    Tumpang is a subdistrict in Malang Regency, East Java, Indonesia, known for its proximity to historical temples and as a gateway to the Bromo-Tengger-Semeru area.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1294b9d5c8190897b760ca4f3b09a completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.