Triple

T11333883
Position Surface form Disambiguated ID Type / Status
Subject Laizhou Bay E268417 entity
Predicate adjacentTo P224 FINISHED
Object Laizhou city E454432 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: Laizhou city | Statement: [Laizhou Bay, adjacentTo, Laizhou city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laizhou city
Context triple: [Laizhou Bay, adjacentTo, Laizhou city]
  • A. Laizhou chosen
    Laizhou is a county-level coastal city in northeastern Shandong Province, China, known for its salt, gold, and chemical industries.
  • B. Rizhao
    Rizhao is a coastal city in eastern China known for its sunny climate, beaches, and port on the Yellow Sea.
  • C. Yantai
    Yantai is a coastal city in Shandong Province, China, known for its port, wine production, and scenic beaches along the Bohai Sea.
  • D. Qingzhou
    Qingzhou is a historic county-level city in eastern China known for its cultural heritage and location in central Shandong Province.
  • E. 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.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9fe5d5881908d786b212a554d8b completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5432abfd081909d1bbf6460643fb9 completed April 19, 2026, 9:03 p.m.
Created at: April 8, 2026, 9:33 p.m.