Triple

T25970315
Position Surface form Disambiguated ID Type / Status
Subject Cibungbulang E645789 entity
Predicate provinceOfCountry P88409 FINISHED
Object West Java, Indonesia 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: West Java, Indonesia | Statement: [Cibungbulang, provinceOfCountry, West Java, Indonesia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: provinceOfCountry
Context triple: [Cibungbulang, provinceOfCountry, West Java, Indonesia]
  • A. provinceOf
    Indicates that one administrative region functions as a province belonging to or governed by a larger territorial or political entity.
  • B. isProvinceOf
    Indicates that one region holds the administrative status of a province within, and is governed as a subnational division of, another political entity.
  • C. provinceName
    Indicates that a province entity is associated with its specific name as a textual label.
  • D. associatedProvinceOrState chosen
    Indicates that one entity is linked or related to a specific province or state as its relevant administrative region.
  • E. teamProvinceOrState
    Indicates that a team is located in, or associated with, a particular province or state.
  • F. None of above.

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_69e77e8768648190b27bb578f14bcb88 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f67c9fe7b48190b79b4041357edb49 completed May 2, 2026, 10:37 p.m.
PD Predicate disambiguation batch_69f678cc272081909e5c70f1bc7407f0 completed May 2, 2026, 10:21 p.m.
Created at: April 22, 2026, 8:50 a.m.