Triple
T28092147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DeLorean DMC-12 |
E709981
|
entity |
| Predicate | fuelSystem |
P8247
|
FINISHED |
| Object |
Bosch K-Jetronic fuel injection
Bosch K-Jetronic fuel injection is a mechanically controlled continuous fuel injection system widely used in late 20th-century European automobiles for precise fuel metering and improved performance.
|
E1801962
|
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: Bosch K-Jetronic fuel injection | Statement: [DeLorean DMC-12, fuelSystem, Bosch K-Jetronic fuel injection]
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: Bosch K-Jetronic fuel injection Triple: [DeLorean DMC-12, fuelSystem, Bosch K-Jetronic fuel injection]
Generated description
Bosch K-Jetronic fuel injection is a mechanically controlled continuous fuel injection system widely used in late 20th-century European automobiles for precise fuel metering and improved performance.
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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6406afe448190ad9c61220d2573b4 |
completed | May 2, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a15c91fb2c8819097d64bb35e6111fb |
completed | May 26, 2026, 4:23 p.m. |
| NEDg | Description generation | batch_6a15cb332fb08190b5a07e8d56ff8f68 |
completed | May 26, 2026, 4:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a15cbefb418819096f70195dddcda5d |
completed | May 26, 2026, 4:35 p.m. |
Created at: April 27, 2026, 8:59 p.m.