Triple

T20676499
Position Surface form Disambiguated ID Type / Status
Subject Chinese Arctic and Antarctic Administration E508171 entity
Predicate operatesResearchStation P8989 FINISHED
Object Taishan Station NE NERFINISHED

How this triple was built (3 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: Taishan Station | Statement: [Chinese Arctic and Antarctic Administration, operatesResearchStation, Taishan Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taishan Station
Context triple: [Chinese Arctic and Antarctic Administration, operatesResearchStation, Taishan Station]
  • A. Taishan Station
    Taishan Station is a metro station on the Taoyuan Airport MRT line serving the Taishan area in New Taipei, Taiwan.
  • B. Kunlun Station
    Kunlun Station is a Chinese research base located in Antarctica, primarily used for scientific studies in fields such as glaciology, astronomy, and climate science.
  • C. Zhongshan station
    Zhongshan station is a major Taipei Metro interchange hub known for its busy commercial surroundings and connection between multiple subway lines.
  • D. Qilian station
    Qilian station is a metro station on the Taipei Metro system in New Taipei City, Taiwan.
  • E. King Sejong Antarctic Station
    King Sejong Antarctic Station is a South Korean research base in Antarctica that supports scientific studies in fields such as glaciology, meteorology, and marine biology.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taishan Station
Target entity description: Taishan Station is a Chinese Antarctic research base used for scientific investigations in the polar environment.
  • A. Taishan Station
    Taishan Station is a metro station on the Taoyuan Airport MRT line serving the Taishan area in New Taipei, Taiwan.
  • B. Kunlun Station
    Kunlun Station is a Chinese research base located in Antarctica, primarily used for scientific studies in fields such as glaciology, astronomy, and climate science.
  • C. Zhongshan station
    Zhongshan station is a major Taipei Metro interchange hub known for its busy commercial surroundings and connection between multiple subway lines.
  • D. Qilian station
    Qilian station is a metro station on the Taipei Metro system in New Taipei City, Taiwan.
  • E. King Sejong Antarctic Station
    King Sejong Antarctic Station is a South Korean research base in Antarctica that supports scientific studies in fields such as glaciology, meteorology, and marine biology.
  • F. None of above. chosen

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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5cf18b48190be6995e197946517 completed April 20, 2026, 11:25 p.m.
Created at: April 16, 2026, 11:44 a.m.