Triple

T20676232
Position Surface form Disambiguated ID Type / Status
Subject Uruguayan Artigas Station E508165 entity
Predicate nearbyStation P4625 FINISHED
Object Chinese Great Wall Station NE NERFINISHED

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: Chinese Great Wall Station | Statement: [Uruguayan Artigas Station, nearbyStation, Chinese Great Wall Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chinese Great Wall Station
Context triple: [Uruguayan Artigas Station, nearbyStation, Chinese Great Wall 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. Zhongshan station
    Zhongshan station is a major Taipei Metro interchange hub known for its busy commercial surroundings and connection between multiple subway lines.
  • C. Great Wall Station chosen
    Great Wall Station is a Chinese Antarctic research base located on King George Island in the South Shetland Islands.
  • D. Qilian station
    Qilian station is a metro station on the Taipei Metro system in New Taipei City, Taiwan.
  • E. Lok Ma Chau Station
    Lok Ma Chau Station is a Hong Kong MTR railway terminus near the border with mainland China, providing cross-boundary passenger services between Hong Kong and Shenzhen.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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.