Triple

T16851744
Position Surface form Disambiguated ID Type / Status
Subject Ichigo Offensive E409690 entity
Predicate target P860 FINISHED
Object Luohe E376752 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: Luohe | Statement: [Ichigo Offensive, target, Luohe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luohe
Context triple: [Ichigo Offensive, target, Luohe]
  • A. Luohe chosen
    Luohe is a prefecture-level city in central Henan Province, China, known as an important regional transport and industrial hub.
  • B. Heihe
    Heihe is a northeastern Chinese border city in Heilongjiang province, located opposite the Russian city of Blagoveshchensk and known as a key hub for Sino-Russian trade and cross-border relations.
  • C. Lengshuijiang
    Lengshuijiang is a county-level city under the administration of Loudi in Hunan Province, China, known for its industrial development and mining resources.
  • D. Yuzhou
    Yuzhou is an old Chinese name historically used for the city now widely known as Chongqing.
  • E. Suihua
    Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b379b8fc81908d8bc9950c7f8bad completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb216fac81909d401c6b9911d1e0 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.