Triple

T35758007
Position Surface form Disambiguated ID Type / Status
Subject Bosch mechanical fuel injection E1033497 entity
Predicate application P98 FINISHED
Object Mercedes-Benz M129 engine
The Mercedes-Benz M129 engine is a 2.5-liter inline-six powerplant from the 1960s known for its advanced mechanical fuel injection and use in early W108 sedans and W113 “Pagoda” SL models.
E2158516 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: Mercedes-Benz M129 engine | Statement: [Bosch mechanical fuel injection, application, Mercedes-Benz M129 engine]
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: Mercedes-Benz M129 engine
Triple: [Bosch mechanical fuel injection, application, Mercedes-Benz M129 engine]
Generated description
The Mercedes-Benz M129 engine is a 2.5-liter inline-six powerplant from the 1960s known for its advanced mechanical fuel injection and use in early W108 sedans and W113 “Pagoda” SL models.

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_69f76e1262f48190a313318665acc189 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a1c138848190bdd27868794efd0f completed May 3, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a389c0b13948190a2bb264764b138dc completed June 22, 2026, 2:20 a.m.
NEDg Description generation batch_6a389ecc6d848190acad7c3fea14d341 completed June 22, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_6a389f59df14819095a568c6527ab305 completed June 22, 2026, 2:35 a.m.
Created at: May 3, 2026, 4:06 p.m.