Triple

T3697504
Position Surface form Disambiguated ID Type / Status
Subject Tamsui River E78493 entity
Predicate majorCityOnRiver P316 FINISHED
Object Keelung E77406 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: Keelung | Statement: [Tamsui River, majorCityOnRiver, Keelung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keelung
Context triple: [Tamsui River, majorCityOnRiver, Keelung]
  • A. Keelung chosen
    Keelung is a major port city in northeastern Taiwan known for its busy harbor, seafood markets, and coastal scenery.
  • B. Kaohsiung
    Kaohsiung is a major port city in southern Taiwan known for its heavy industry, modern harborfront, and growing cultural and arts scene.
  • C. Tainan
    Tainan is a historic city in southern Taiwan known for its well-preserved temples, traditional culture, and status as the island’s former capital.
  • D. Xinyi
    Xinyi is a county-level city administered by Xuzhou in Jiangsu Province, eastern China.
  • E. Taipei–Keelung metropolitan area
    The Taipei–Keelung metropolitan area is Taiwan’s largest urban agglomeration, encompassing the capital Taipei and surrounding cities in a densely populated economic and cultural hub in northern Taiwan.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc5115ad8819085ffa938de3943f4 completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb0b17e288190b6014ad9c31a3b9f completed March 21, 2026, 2:52 p.m.
Created at: March 8, 2026, 3:26 p.m.