Triple

T1705817
Position Surface form Disambiguated ID Type / Status
Subject Argive plain E36869 entity
Predicate surroundedBy P224 FINISHED
Object Midea E192256 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: Midea | Statement: [Argive plain, surroundedBy, Midea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midea
Context triple: [Argive plain, surroundedBy, Midea]
  • A. Midea chosen
    Midea is an important archaeological site in Greece that was a fortified citadel of the Mycenaean civilization.
  • B. Mitsubishi Electric
    Mitsubishi Electric is a global Japanese electronics and electrical equipment manufacturer known for producing advanced technologies ranging from factory automation systems and power equipment to large-scale display and video board solutions.
  • C. Panasonic
    Panasonic is a major Japanese multinational electronics company known for its wide range of consumer electronics, home appliances, and industrial solutions.
  • D. Gaggenau
    Gaggenau is a town in the state of Baden-Württemberg in southwestern Germany, located in the Murg Valley near the Black Forest.
  • E. Bosch
    Bosch is a multinational engineering and technology company best known for its automotive components, industrial products, and household appliances.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62f52ea48190a176eb499f946301 completed March 6, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0cf5a3481908434c725e85360a2 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:30 p.m.