Triple

T35195270
Position Surface form Disambiguated ID Type / Status
Subject Bontosunggu E1016238 entity
Predicate governingBody P46 FINISHED
Object Government of Jeneponto Regency
The Government of Jeneponto Regency is the local administrative authority responsible for governing and managing public affairs in Jeneponto Regency, South Sulawesi, Indonesia.
E2129153 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: Government of Jeneponto Regency | Statement: [Bontosunggu, governingBody, Government of Jeneponto Regency]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Government of Jeneponto Regency
Triple: [Bontosunggu, governingBody, Government of Jeneponto Regency]
Generated description
The Government of Jeneponto Regency is the local administrative authority responsible for governing and managing public affairs in Jeneponto Regency, South Sulawesi, Indonesia.

Provenance (5 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_69f76dde814c8190a71f60d514a424a4 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78e308b408190afcb3f1de46c6187 completed May 3, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37fb2660648190909dc9318c41e49b completed June 21, 2026, 2:54 p.m.
NEDg Description generation batch_6a37fbff7f0c8190a9d68e78f1e12c96 completed June 21, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_6a37fd0118d881908b89d0d681665eeb completed June 21, 2026, 3:02 p.m.
Created at: May 3, 2026, 4:02 p.m.