Triple

T19232720
Position Surface form Disambiguated ID Type / Status
Subject Jalan Besar Stadium E480909 entity
Predicate near P350 FINISHED
Object Jalan Besar MRT station — NE NERFINISHED

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: Jalan Besar MRT station | Statement: [Jalan Besar Stadium, near, Jalan Besar MRT station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jalan Besar MRT station
Context triple: [Jalan Besar Stadium, near, Jalan Besar MRT station]
  • A. Jakabaring Station
    Jakabaring Station is a key stop on the Palembang Light Rail Transit system in Palembang, Indonesia, serving the Jakabaring area and its surrounding facilities.
  • B. Bambang LRT station
    Bambang LRT station is an elevated Light Rail Transit station in Santa Cruz, Manila, serving commuters along Manila's LRT Line 1.
  • C. Bukit Bintang MRT station
    Bukit Bintang MRT station is a major underground rapid transit station in central Kuala Lumpur, Malaysia, serving the busy Bukit Bintang shopping and entertainment district.
  • D. Sungai Jernih MRT station
    Sungai Jernih MRT station is a mass rapid transit station serving the town of Kajang in Selangor, Malaysia, as part of the Klang Valley MRT network.
  • E. Kajang MRT station
    Kajang MRT station is a mass rapid transit station in Kajang, Selangor, Malaysia, serving as a key rail hub connecting the town to the greater Kuala Lumpur metropolitan area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jalan Besar MRT station
Target entity description: Jalan Besar MRT station is an underground Mass Rapid Transit station in Singapore’s Downtown Line serving the Jalan Besar and Rochor areas.
  • A. Jakabaring Station
    Jakabaring Station is a key stop on the Palembang Light Rail Transit system in Palembang, Indonesia, serving the Jakabaring area and its surrounding facilities.
  • B. Bambang LRT station
    Bambang LRT station is an elevated Light Rail Transit station in Santa Cruz, Manila, serving commuters along Manila's LRT Line 1.
  • C. Bukit Bintang MRT station
    Bukit Bintang MRT station is a major underground rapid transit station in central Kuala Lumpur, Malaysia, serving the busy Bukit Bintang shopping and entertainment district.
  • D. Sungai Jernih MRT station
    Sungai Jernih MRT station is a mass rapid transit station serving the town of Kajang in Selangor, Malaysia, as part of the Klang Valley MRT network.
  • E. Kajang MRT station
    Kajang MRT station is a mass rapid transit station in Kajang, Selangor, Malaysia, serving as a key rail hub connecting the town to the greater Kuala Lumpur metropolitan area.
  • F. None of above. chosen

Provenance (2 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa9fa7348190947129273d19c9a7 completed April 20, 2026, 10:06 a.m.
Created at: April 10, 2026, 1:25 p.m.