Triple

T1385270
Position Surface form Disambiguated ID Type / Status
Subject West Java E29829 entity
Predicate hasRailwayHub P1071 FINISHED
Object Bandung Station E121875 NE FINISHED

How this triple was built (3 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: Bandung Station | Statement: [West Java, hasRailwayHub, Bandung Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bandung Station
Context triple: [West Java, hasRailwayHub, Bandung Station]
  • A. Bandung railway station chosen
    Bandung railway station is the main rail hub in Bandung, Indonesia, serving as a key junction for intercity and regional train services across West Java and beyond.
  • B. Namba Station
    Namba Station is one of Osaka’s major railway and subway terminals, serving as a key commercial and transportation hub in the city’s bustling Namba district.
  • C. Shuri Station
    Shuri Station is a railway station in Naha, Okinawa, serving as a key stop on the Okinawa Urban Monorail (Yui Rail) near the historic Shuri Castle area.
  • D. Daejeon Station
    Daejeon Station is a major railway hub in central South Korea, serving high-speed KTX trains and connecting Daejeon to key cities nationwide.
  • E. Naha Station
    Naha Station is a major railway terminal in Naha, Okinawa, serving as a key transportation hub for the city and surrounding region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRailwayHub
Context triple: [West Java, hasRailwayHub, Bandung Station]
  • A. hasTransportHub
    Indicates that a location contains or serves as a central facility where multiple transport routes or modes connect for passenger or cargo movement.
  • B. hasMajorRailwayStation chosen
    Indicates that a place contains or is served by a principal railway station that functions as a major hub for rail transport.
  • C. hasRailwayStation
    Indicates that a place or location is served by, or contains, a railway station.
  • D. hasRailStation
    Indicates that one entity possesses, contains, or is served by a rail station.
  • E. hasRailFacility
    Indicates that an entity possesses or is served by a rail-related facility, such as a railway station, terminal, or yard.
  • F. None of above.

Provenance (4 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c33896548190b44f70c9aaaed9b6 completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd48e046c8190bc4820d6c4ce907d completed March 8, 2026, 1:44 a.m.
PD Predicate disambiguation batch_69a4befe343c81909f758440a531b5be completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:59 p.m.