Triple
T18905781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal-Mogul |
E462457
|
entity |
| Predicate | acquiredBy |
P347
|
FINISHED |
| Object | Tenneco |
—
|
NE NERFINISHED |
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: Tenneco | Statement: [Federal-Mogul, acquiredBy, Tenneco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tenneco Context triple: [Federal-Mogul, acquiredBy, Tenneco]
-
A.
Tenneco
chosen
Tenneco is a global automotive parts manufacturer known for producing ride performance, clean air, and powertrain components for vehicle manufacturers and the aftermarket.
-
B.
BorgWarner
BorgWarner is a global automotive industry supplier best known for designing and manufacturing advanced powertrain components such as turbochargers and drivetrain systems for major vehicle manufacturers.
-
C.
Denso Corporation
Denso Corporation is a leading global automotive components manufacturer headquartered in Japan and a key supplier of advanced technologies and systems to major automakers worldwide.
-
D.
Dorman
Dorman is a surname of English origin borne by various notable individuals, including colonial administrator Maurice Henry Dorman.
-
E.
Mahle GmbH
Mahle GmbH is a German automotive parts manufacturer known worldwide for producing engine components, filtration systems, and thermal management solutions for vehicles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52cc9cc8190ac489d36e51693c8 |
completed | April 20, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:58 a.m.