Triple

T26284694
Position Surface form Disambiguated ID Type / Status
Subject Gunung Sindur E661101 entity
Predicate locatedInAdministrativeEntity P40 FINISHED
Object West Java E29829 NE FINISHED

How this triple was built (1 step)

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: West Java | Statement: [Gunung Sindur, locatedInAdministrativeEntity, West Java]

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_69ee812bbd448190be4d7478b057990a completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60e76a034819088e757b72d480585 completed May 2, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ae8b856c819092a1b5887e6af8cf completed May 23, 2026, 1:41 p.m.
Created at: April 26, 2026, 10:03 p.m.