Triple

T15474662
Position Surface form Disambiguated ID Type / Status
Subject Luohe E376752 entity
Predicate hasVehicleLicensePrefix P68833 FINISHED
Object 豫L E35116 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: 豫L | Statement: [Luohe, hasVehicleLicensePrefix, 豫L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 豫L
Context triple: [Luohe, hasVehicleLicensePrefix, 豫L]
  • A. Henan Province chosen
    Henan Province is a populous landlocked province in central China, historically regarded as a cradle of Chinese civilization and home to several ancient capitals.
  • B. Henan Provincial Department of Transport
    The Henan Provincial Department of Transport is the government agency responsible for overseeing and managing transportation infrastructure, policy, and services within China’s Henan Province.
  • C. 平顶山
    平顶山是位于中国河南省中部、以煤炭资源和重工业著称的地级市。
  • D. Zhumadian
    Zhumadian is a prefecture-level city in southern Henan Province, China, known as an important regional transport and agricultural hub.
  • E. Xinxiang
    Xinxiang is a prefecture-level industrial and transportation hub city located in northern Henan Province, China.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6e859481909c3d08343b7ad27c completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d093ccc8190aefc355a837c83f4 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:34 a.m.