Triple
T24670168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeep Liberty (KJ) |
E610807
|
entity |
| Predicate | engineOption |
P17976
|
FINISHED |
| Object |
3.7 L PowerTech V6 gasoline engine
The 3.7 L PowerTech V6 gasoline engine is a mid-size Chrysler V6 known for its use in early-2000s Jeep and Dodge SUVs and trucks, offering a balance of torque and durability for light off-road and towing applications.
|
E1645998
|
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: 3.7 L PowerTech V6 gasoline engine | Statement: [Jeep Liberty (KJ), engineOption, 3.7 L PowerTech V6 gasoline 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: 3.7 L PowerTech V6 gasoline engine Triple: [Jeep Liberty (KJ), engineOption, 3.7 L PowerTech V6 gasoline engine]
Generated description
The 3.7 L PowerTech V6 gasoline engine is a mid-size Chrysler V6 known for its use in early-2000s Jeep and Dodge SUVs and trucks, offering a balance of torque and durability for light off-road and towing applications.
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_69e2c4d505cc8190981881df06c0bf52 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f40faa41048190a40c6c2ebaa5288e |
completed | May 1, 2026, 2:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1004a529f88190b77373f97b59f1e9 |
completed | May 22, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_6a1005b203048190bada1a7e9e78b1f5 |
completed | May 22, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10063001788190835d04b4e685ee64 |
completed | May 22, 2026, 7:30 a.m. |
Created at: April 18, 2026, 2:42 a.m.