Triple

T8870822
Position Surface form Disambiguated ID Type / Status
Subject Adler District E211149 entity
Predicate contains P35 FINISHED
Object Adler railway station E178026 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: Adler railway station | Statement: [Adler District, contains, Adler railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adler railway station
Context triple: [Adler District, contains, Adler railway station]
  • A. Adler railway station chosen
    Adler railway station is a major rail hub in Sochi, Russia, serving as a key gateway for passengers traveling to the Black Sea coast and nearby resort areas.
  • B. Allaman railway station
    Allaman railway station is a regional train stop in the canton of Vaud, Switzerland, situated on the main line between Lausanne and Geneva.
  • C. Nodahanshin Station
    Nodahanshin Station is a railway station in Osaka, Japan, serving as the western terminus of the Osaka Metro Sennichimae Line and providing access to the Noda Hanshin area.
  • D. Recreo station
    Recreo station is a passenger rail station on the Valparaíso Metro system in Chile, serving the coastal area between Valparaíso and Viña del Mar.
  • E. Legarda station
    Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6126d2f88190979ab25772ee657c completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0ea9f5c8190b5c32fb1fefdc68b completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:51 p.m.