Triple

T13520942
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz GLE E322892 entity
Predicate assemblyLocation P40 FINISHED
Object Wanaherang, Indonesia
Wanaherang is an industrial area in Indonesia known for hosting automotive manufacturing facilities, including a Mercedes-Benz assembly plant.
E1044724 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: Wanaherang, Indonesia | Statement: [Mercedes-Benz GLE, assemblyLocation, Wanaherang, Indonesia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanaherang, Indonesia
Context triple: [Mercedes-Benz GLE, assemblyLocation, Wanaherang, Indonesia]
  • A. Sari, Indonesia
    Sari, Indonesia is a locality in Indonesia whose name is shared with various other places and cultural references in the country.
  • B. Maiwa (Indonesia)
    Maiwa (Indonesia) is an Austronesian language spoken by the Maiwa people in parts of Sulawesi, Indonesia.
  • C. Javan
    Javan is a surname most notably associated with Ali Javan, the Iranian-American physicist and co-inventor of the gas laser.
  • D. Bawean
    Bawean is an Indonesian island in the Java Sea known for its volcanic landscape, unique endemic deer, and cultural blend of Javanese and Malay influences.
  • E. Bali
    Bali is a popular Indonesian island province renowned for its tropical beaches, vibrant Hindu culture, and status as a major international tourism and conference destination.
  • 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: Wanaherang, Indonesia
Triple: [Mercedes-Benz GLE, assemblyLocation, Wanaherang, Indonesia]
Generated description
Wanaherang is an industrial area in Indonesia known for hosting automotive manufacturing facilities, including a Mercedes-Benz assembly plant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wanaherang, Indonesia
Target entity description: Wanaherang is an industrial area in Indonesia known for hosting automotive manufacturing facilities, including a Mercedes-Benz assembly plant.
  • A. Sari, Indonesia
    Sari, Indonesia is a locality in Indonesia whose name is shared with various other places and cultural references in the country.
  • B. Maiwa (Indonesia)
    Maiwa (Indonesia) is an Austronesian language spoken by the Maiwa people in parts of Sulawesi, Indonesia.
  • C. Javan
    Javan is a surname most notably associated with Ali Javan, the Iranian-American physicist and co-inventor of the gas laser.
  • D. Bawean
    Bawean is an Indonesian island in the Java Sea known for its volcanic landscape, unique endemic deer, and cultural blend of Javanese and Malay influences.
  • E. Bali
    Bali is an American lingerie and intimate apparel brand known for its comfortable, supportive bras and underwear, owned by Hanesbrands.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa3df0c8190804174695587f0ea completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7549a215c8190a0b18c505d8ca504 completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f755e7ad2c81908cdd2405c3f28d8b completed May 3, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69f756a24c248190867f2a3aa33bbac8 completed May 3, 2026, 2:07 p.m.
Created at: April 9, 2026, 9:44 p.m.