Triple

T2976047
Position Surface form Disambiguated ID Type / Status
Subject West Sulawesi E80398 entity
Predicate hasCity P316 FINISHED
Object Majene
Majene is a coastal town and regency capital in West Sulawesi, Indonesia, known for its fishing industry and role as a regional administrative center.
 E318260 NE FINISHED

How this triple was built (4 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: Majene | Statement: [West Sulawesi, hasCity, Majene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Majene
Context triple: [West Sulawesi, hasCity, Majene]
  • A. Tamba
    Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
  • B. Apswa
    Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
  • C. Sanglechi
    Sanglechi is a lesser-known Eastern Iranian language spoken in parts of northeastern Afghanistan and adjacent regions.
  • D. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • E. Lumbu
    Lumbu is a Bantu ethnic group and language of Central Africa, primarily found in Gabon and the Republic of the Congo, culturally and linguistically related to neighboring Punu people.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Majene
Triple: [West Sulawesi, hasCity, Majene]
Generated description
Majene is a coastal town and regency capital in West Sulawesi, Indonesia, known for its fishing industry and role as a regional administrative center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Majene
Target entity description: Majene is a coastal town and regency capital in West Sulawesi, Indonesia, known for its fishing industry and role as a regional administrative center.
  • A. Tamba
    Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
  • B. Apswa
    Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
  • C. Sanglechi
    Sanglechi is a lesser-known Eastern Iranian language spoken in parts of northeastern Afghanistan and adjacent regions.
  • D. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • E. Lumbu
    Lumbu is a Bantu ethnic group and language of Central Africa, primarily found in Gabon and the Republic of the Congo, culturally and linguistically related to neighboring Punu people.
  • F. None of above. chosen

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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad998ad5308190a012ec4940eb46cb completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e2c498881909dc0349b56db5c87 completed March 11, 2026, 8:56 a.m.
NEDg Description generation batch_69b1320a28808190b0f751eb6f198795 completed March 11, 2026, 9:12 a.m.
NED2 Entity disambiguation (via description) batch_69b1cb35a0048190bad4b190eb710ec1 completed March 11, 2026, 8:06 p.m.
Created at: March 8, 2026, 2:58 p.m.