Triple
T16529946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thrust2 |
E401536
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | GKN |
E812842
|
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: GKN | Statement: [Thrust2, sponsor, GKN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GKN Context triple: [Thrust2, sponsor, GKN]
-
A.
GKN Sankey
GKN Sankey was a British engineering and manufacturing company best known for producing military vehicles and automotive components.
-
B.
GKN Aerospace
chosen
GKN Aerospace is a global aerospace engineering company that designs and manufactures advanced aircraft structures, engine components, and systems for commercial, military, and space applications.
-
C.
Bendix
Bendix is a surname most notably associated with American actor William Bendix, known for his roles in mid-20th-century film and radio.
-
D.
Korgen
Korgen is a village in Nordland county, Norway, known as the main local hub for services and administration in the municipality of Hemnes.
-
E.
Bristol Automotive
Bristol Automotive is a British film production company known for its involvement in the making of the historical drama "The Imitation Game."
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed625208190a68b879266b05b3f |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00609129808190b893346e06deb944 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:14 a.m.