Triple
T10735156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALP-45DP |
E253176
|
entity |
| Predicate | primeMover |
P19407
|
FINISHED |
| Object | Caterpillar 3512C HD |
E95171
|
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: Caterpillar 3512C HD | Statement: [ALP-45DP, primeMover, Caterpillar 3512C HD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caterpillar 3512C HD Context triple: [ALP-45DP, primeMover, Caterpillar 3512C HD]
-
A.
Caterpillar
The Caterpillar is a wise, enigmatic blue insect who serves as a cryptic advisor to Alice in Tim Burton’s 2010 fantasy film "Alice in Wonderland."
-
B.
Caterpillar
chosen
Caterpillar is a leading American manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and locomotives.
-
C.
Doosan Bobcat
Doosan Bobcat is a global construction equipment manufacturer best known for producing compact machinery such as skid-steer loaders, excavators, and utility vehicles.
-
D.
Detroit Diesel 6V53
The Detroit Diesel 6V53 is a compact, two-stroke V6 diesel engine widely used in military vehicles and other heavy-duty applications for its durability and high power-to-weight ratio.
-
E.
Cummins
Cummins is a global power technology company best known for designing, manufacturing, and servicing diesel and alternative-fuel engines and related power systems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71021cccc8190ba2d3bbd7d50e2a7 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22cc4edc8190a7ab45e57ed94c47 |
completed | April 14, 2026, 11:19 a.m. |
Created at: April 8, 2026, 9:14 p.m.