Triple

T6122417
Position Surface form Disambiguated ID Type / Status
Subject Surakarta E136514 entity
Predicate hasRailwayStation P918 FINISHED
Object Solo Balapan Station E504811 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: Solo Balapan Station | Statement: [Surakarta, hasRailwayStation, Solo Balapan Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solo Balapan Station
Context triple: [Surakarta, hasRailwayStation, Solo Balapan Station]
  • A. Solo Balapan Station chosen
    Solo Balapan Station is the main railway station in Surakarta (Solo), Indonesia, serving as a key hub for intercity and regional train services on Java.
  • B. Mario Raceway
    Mario Raceway is a popular, Mario-themed circuit course featured in the racing video game Mario Kart 64.
  • C. Osu Kannon Station
    Osu Kannon Station is a subway station in Nagoya, Japan, serving as a key access point to the popular Osu shopping and entertainment district.
  • D. Karting Academy
    Karting Academy is a go-kart racing attraction at Ferrari World Abu Dhabi where visitors can experience high-speed karting on a professionally designed track.
  • E. Loveless Stadium
    Loveless Stadium is the home softball venue for the University of North Texas Mean Green athletic program.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05c247b7081909972b40afb165e6f completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135a5c428819090066ad785296736 completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:14 p.m.