Triple

T17943978
Position Surface form Disambiguated ID Type / Status
Subject Kenli District E448654 entity
Predicate roadAccessTo P22549 FINISHED
Object Dongying urban area 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: Dongying urban area | Statement: [Kenli District, roadAccessTo, Dongying urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongying urban area
Context triple: [Kenli District, roadAccessTo, Dongying urban area]
  • A. Dongying
    Dongying is a coastal prefecture-level city in Shandong Province, eastern China, known as the headquarters of the China National Petroleum Corporation and for its location at the mouth of the Yellow River.
  • B. Dongying District chosen
    Dongying District is the central urban district and administrative seat of Dongying City in Shandong Province, China.
  • C. Binzhou
    Binzhou is a prefecture-level city in northern Shandong Province, China, located near the lower reaches of the Yellow River and known for its developing industrial and agricultural economy.
  • D. Yantai
    Yantai is a coastal city in Shandong Province, China, known for its port, wine production, and scenic beaches along the Bohai Sea.
  • E. Weifang
    Weifang is a prefecture-level city in eastern China known for its kite-making tradition and annual international kite festival.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad9819a88190ad4ea7d562cf3f28 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.