Triple

T6454918
Position Surface form Disambiguated ID Type / Status
Subject Eduardo Frei Montalva Station E139967 entity
Predicate nearbyStation P4625 FINISHED
Object Great Wall Station E22635 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: Great Wall Station | Statement: [Eduardo Frei Montalva Station, nearbyStation, Great Wall Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Great Wall Station
Context triple: [Eduardo Frei Montalva Station, nearbyStation, Great Wall Station]
  • A. Great Wall Station chosen
    Great Wall Station is a Chinese Antarctic research base located on King George Island in the South Shetland Islands.
  • B. Beigongmen station
    Beigongmen station is a subway station on the Beijing Subway network serving the area near the Summer Palace in Beijing.
  • C. Qianmen station
    Qianmen station is a major Beijing Subway station located just south of Tiananmen Square, serving as a key access point to the historic city center and nearby landmarks.
  • D. Yongdingmen Railway Station
    Yongdingmen Railway Station was the historical railway terminus in southern Beijing that preceded and was later replaced by the modern Beijing South Railway Station.
  • E. Huilongguan station
    Huilongguan station is a subway station in Beijing’s Changping District that serves the large Huilongguan residential area as part of the city’s urban rail network.
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069d339788190992e3299ffe30d58 completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bd982208190bbf5f00a85f7098d completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:48 p.m.