Triple

T14284857
Position Surface form Disambiguated ID Type / Status
Subject 港区 E354141 entity
Predicate hasSymbol P129 FINISHED
Object 港区章 E354141 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: 港区章 | Statement: [港区, hasSymbol, 港区章]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 港区章
Context triple: [港区, hasSymbol, 港区章]
  • A. 港区 chosen
    港区 is a central Tokyo ward known for its major business districts, embassies, upscale neighborhoods, and landmarks such as Roppongi and Tokyo Tower.
  • B. Nanjiang Port Area
    Nanjiang Port Area is a major harbor district within the Port of Tianjin, serving as an important hub for maritime trade and logistics in northern China.
  • C. Jiuzhou Port Area
    Jiuzhou Port Area is a major passenger and cargo terminal zone within the Port of Zhuhai, serving as a key maritime gateway connecting Zhuhai with nearby coastal cities and regions.
  • D. Lingang Port Area
    Lingang Port Area is a major coastal industrial and logistics zone within the Port of Tianjin, supporting large-scale cargo handling, warehousing, and port-related manufacturing.
  • E. Yantian District
    Yantian District is a coastal administrative district of Shenzhen, China, known for its major container port and scenic areas such as Dameisha and Xiaomeisha beaches.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697ef40c8190bea37724b28c2e99 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1a6d8081908e857143c0c809c0 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:10 a.m.