Triple

T12620884
Position Surface form Disambiguated ID Type / Status
Subject Lüshun E301374 entity
Predicate guardsAccessTo P15393 FINISHED
Object ports of Tianjin E145544 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: ports of Tianjin | Statement: [Lüshun, guardsAccessTo, ports of Tianjin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ports of Tianjin
Context triple: [Lüshun, guardsAccessTo, ports of Tianjin]
  • A. Port of Tianjin chosen
    The Port of Tianjin is one of China’s largest and busiest seaports, serving as a major maritime gateway to Beijing and the industrial north.
  • B. Tianjin
    Tianjin is a major port city and industrial hub in northern China, located near Beijing along the Bohai Sea.
  • C. Tangshan Port
    Tangshan Port is a major Chinese seaport on the coast of Hebei Province, serving as an important hub for bulk cargo and international trade in the Bohai Sea region.
  • D. port of Caofeidian
    The port of Caofeidian is a major deep-water seaport and industrial hub on the Bohai Sea in northern China, serving as a key gateway for bulk cargo and energy imports.
  • E. Cangzhou Port
    Cangzhou Port is a major Chinese seaport on the western coast of the Bohai Sea, serving as an important hub for regional trade and industrial shipping.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96411d87481909127e81755f23964 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ed6f79881908872c644a9789f04 completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:13 p.m.