Triple

T11870978
Position Surface form Disambiguated ID Type / Status
Subject Anping District E282404 entity
Predicate hasLandmark P105 FINISHED
Object Anping Harbor E951134 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: Anping Harbor | Statement: [Anping District, hasLandmark, Anping Harbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anping Harbor
Context triple: [Anping District, hasLandmark, Anping Harbor]
  • A. Anping Harbor chosen
    Anping Harbor is a historic coastal port area in Tainan, Taiwan, known for its role in maritime trade and its surrounding cultural and tourist attractions.
  • B. Nangan Fu’ao Harbor
    Nangan Fu’ao Harbor is a key coastal port and transportation hub on Nangan Island in Taiwan’s Matsu archipelago, serving passenger and cargo traffic between the islands and the Taiwanese mainland.
  • C. Namhang Harbor
    Namhang Harbor is a coastal port area known as a key maritime and industrial hub in Busan, South Korea.
  • D. Xinglong Bay
    Xinglong Bay is a scenic coastal bay near Wanning in Hainan, China, known for its sandy beaches and tropical seaside tourism.
  • E. Port of Tangshan
    The Port of Tangshan is a major Chinese seaport and industrial shipping hub on the Bohai Sea, serving as a key gateway for bulk cargo and international trade in northern China.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be15fb2481908f514781ce2c617f completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f417bb131c8190b0923e077cca74be completed May 1, 2026, 3:02 a.m.
Created at: April 8, 2026, 9:43 p.m.