Triple
T10372275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bv206 |
E244412
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Hägglunds |
E48540
|
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: Hägglunds | Statement: [Bv206, manufacturer, Hägglunds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hägglunds Context triple: [Bv206, manufacturer, Hägglunds]
-
A.
Hägglunds
chosen
Hägglunds is a Swedish defense and engineering company best known for developing and producing armored combat vehicles and other military land systems.
-
B.
Youla
Youla is a Russian online classifieds platform for buying and selling goods and services, owned by the internet company Mail.ru Group (now VK).
-
C.
Karl J. Åström
Karl J. Åström is a prominent Swedish control theorist and engineer renowned for his foundational contributions to automatic control, system identification, and adaptive control.
-
D.
Björn Wittenmark
Björn Wittenmark is a Swedish control theorist and academic known for his influential work in adaptive control and co-authorship of foundational textbooks in automatic control with Karl J. Åström.
-
E.
Edström
Edström is a Swedish surname borne by several notable figures, including athletes, politicians, and industrial leaders.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97ed09c8190a3627aa7b5eea62f |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fb8e96e081908282bb0f82719abe |
completed | April 9, 2026, 7:18 p.m. |
Created at: April 6, 2026, 12:01 p.m.