Triple

T10041718
Position Surface form Disambiguated ID Type / Status
Subject Bandvagn 206 E205310 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: [Bandvagn 206, manufacturer, Hägglunds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hägglunds
Context triple: [Bandvagn 206, 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcee48d8c8190af7c93b60f8ca7cb completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2827064108190b9079717a4eb98d6 completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:55 p.m.