Triple

T22145890
Position Surface form Disambiguated ID Type / Status
Subject Pandeglang Regency E547286 entity
Predicate capital P234 FINISHED
Object Pandeglang 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: Pandeglang | Statement: [Pandeglang Regency, capital, Pandeglang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pandeglang
Context triple: [Pandeglang Regency, capital, Pandeglang]
  • A. Pandeglang Regency chosen
    Pandeglang Regency is an administrative region in Banten Province on the western tip of Java, Indonesia, known for its coastal areas facing the Sunda Strait and proximity to Ujung Kulon National Park.
  • B. Cilegon
    Cilegon is an industrial port city in western Java, Indonesia, known for its steel industry and strategic location near the Sunda Strait.
  • C. Lebak
    Lebak is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and fishing communities.
  • D. Rangkasbitung
    Rangkasbitung is the main urban center and administrative hub of Lebak Regency in Banten Province, Indonesia.
  • E. Lebak Regency
    Lebak Regency is an administrative region in Banten Province on the island of Java, Indonesia, known for its rural landscapes and as the homeland of the indigenous Baduy people.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f097248190a8a3cdff1593b5b5 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.