Triple

T10989727
Position Surface form Disambiguated ID Type / Status
Subject Financial District (Boston) E259725 entity
Predicate servedBy P82 FINISHED
Object State station E78748 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: State station | Statement: [Financial District (Boston), servedBy, State station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State station
Context triple: [Financial District (Boston), servedBy, State station]
  • A. State station chosen
    State station is a major underground MBTA subway station in downtown Boston serving multiple lines and providing key access to the city’s financial district.
  • B. Nation station
    Nation station is a major Paris Métro and RER interchange in the 12th arrondissement, serving as an important hub for urban and suburban transit in eastern Paris.
  • C. State/Lake station
    State/Lake station is an elevated Chicago 'L' rapid transit stop in the Loop, serving multiple CTA lines in downtown Chicago.
  • D. Standard Station
    Standard Station is a famous 1966 screenprint by American artist Ed Ruscha depicting a stylized gasoline station, emblematic of his exploration of car culture and the American West.
  • E. Bowie State station
    Bowie State station is a commuter rail stop in Maryland serving MARC's Penn Line and providing access to Bowie State University and the surrounding area.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b6d0b48190aaf959e2609d34e5 completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344f95ab88190bbce8f0eab0b2713 completed April 18, 2026, 8:46 a.m.
Created at: April 8, 2026, 9:24 p.m.