Triple

T19872409
Position Surface form Disambiguated ID Type / Status
Subject 洛河 E477550 entity
Predicate 流经城市 P42402 FINISHED
Object 洛阳市 — NE NERFINISHED

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: 洛阳市 | Statement: [洛河, 流经城市, 洛阳市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 洛阳市
Context triple: [洛河, 流经城市, 洛阳市]
  • A. 漯河市
    漯河市 is a prefecture-level city in central China’s Henan Province, known as an important transportation hub and food-processing center along the middle reaches of the Yellow River region.
  • B. 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。
  • C. 鹤壁市
    鹤壁市 is a prefecture-level city in northern Henan Province, China, known for its coal resources and developing industrial economy.
  • D. 南阳
    南阳 is a prefecture-level city in southwestern Henan Province, China, known as a historic cultural center and important transportation hub in the region.
  • E. Luoyang chosen
    Luoyang is one of China’s oldest and most historically significant cities, renowned as an ancient imperial capital and cultural center along the Yellow River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658d826f88190be04188997952d1b completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:51 p.m.