Triple

T7615926
Position Surface form Disambiguated ID Type / Status
Subject Osaka Castle Park E172359 entity
Predicate accessibleBy P1017 FINISHED
Object Osakajokoen Station E30525 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: Osakajokoen Station | Statement: [Osaka Castle Park, accessibleBy, Osakajokoen Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osakajokoen Station
Context triple: [Osaka Castle Park, accessibleBy, Osakajokoen Station]
  • A. Osakajokoen Station chosen
    Osakajokoen Station is a railway station in Osaka, Japan that serves as a primary access point for visitors to Osaka Castle and its surrounding park.
  • B. Syosset station
    Syosset station is a Long Island Rail Road commuter rail stop serving the community of Syosset in Nassau County, New York.
  • C. Rautatientori station
    Rautatientori station is a central underground station in the Helsinki Metro system located beneath Helsinki’s main railway square, serving as a major hub for public transportation in the city.
  • D. Pasila railway station
    Pasila railway station is a major rail hub in Helsinki, Finland, serving as a key junction for local and long-distance trains just north of the city center.
  • E. Santolan station
    Santolan station is an elevated terminal station of Manila's LRT Line 2 serving commuters in the eastern part of Metro Manila, Philippines.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa4569c88190b2968403a24e7882 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8686d16808190bc431c43c0928f6e completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:55 p.m.