Triple
T7788794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayton Engineering Laboratories Company |
E187317
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Delco |
E172741
|
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: Delco | Statement: [Dayton Engineering Laboratories Company, alsoKnownAs, Delco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delco Context triple: [Dayton Engineering Laboratories Company, alsoKnownAs, Delco]
-
A.
Delco
chosen
Delco was an American automotive electronics and parts manufacturer best known for pioneering electric starting, lighting, and ignition systems for automobiles.
-
B.
Delco
Delco is the commonly used nickname for Delaware County, a suburban county located just west of Philadelphia in southeastern Pennsylvania.
-
C.
Eaton
Eaton is a surname most notably associated with American decathlete and Olympic gold medalist Ashton Eaton.
-
D.
Eaton
Eaton is the namesake of the Eaton Professor of the Science of Government at Harvard University, an endowed academic chair in political science and government studies.
-
E.
Fisher Body
Fisher Body was a major American automobile body manufacturer that became a key division of General Motors and played a central role in early 20th-century auto industry labor history.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7e8a0d08190b6d4ca560681eb35 |
completed | March 30, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf61f77808190a5a1814fe1cb7ae1 |
completed | March 30, 2026, 10:15 p.m. |
Created at: March 30, 2026, 4:25 p.m.