Triple

T18562822
Position Surface form Disambiguated ID Type / Status
Subject Port of Longkou E453687 entity
Predicate locatedIn P40 FINISHED
Object Longkou 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: Longkou | Statement: [Port of Longkou, locatedIn, Longkou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longkou
Context triple: [Port of Longkou, locatedIn, Longkou]
  • A. Longkou chosen
    Longkou is a coastal city in northeastern Shandong Province, China, known for its port, marine-based industries, and production of Longkou vermicelli.
  • B. 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.
  • C. Laizhou
    Laizhou is a county-level coastal city in northeastern Shandong Province, China, known for its salt, gold, and chemical industries.
  • D. Rizhao
    Rizhao is a coastal city in eastern China known for its sunny climate, beaches, and port on the Yellow Sea.
  • E. Lianyungang
    Lianyungang is a major coastal city and seaport in eastern China, serving as an important transportation and trade hub on the Yellow Sea.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53afb4f088190adf0b2b64057a210 completed April 19, 2026, 8:28 p.m.
Created at: April 10, 2026, 11:42 a.m.