Triple

T10958654
Position Surface form Disambiguated ID Type / Status
Subject KL Monorail E258908 entity
Predicate hasStation P35 FINISHED
Object Imbi station
Imbi station is an elevated monorail stop on Kuala Lumpur’s KL Monorail line serving the busy Bukit Bintang shopping and entertainment district.
E896729 NE FINISHED

How this triple was built (4 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: Imbi station | Statement: [KL Monorail, hasStation, Imbi station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imbi station
Context triple: [KL Monorail, hasStation, Imbi station]
  • A. Gaiemmae Station
    Gaiemmae Station is a Tokyo Metro subway station in Minato, Tokyo, serving the Ginza Line and providing convenient access to nearby sports and cultural facilities.
  • B. Nopo Station
    Nopo Station is a major subway and bus terminal in Busan, South Korea, serving as a key transportation hub for the northeastern part of the city.
  • C. Anonas station
    Anonas station is an elevated rapid transit stop on Manila’s Light Rail Transit Line 2 serving the Quezon City area.
  • D. Olema Station
    Olema Station is the former name of the small coastal town now known as Point Reyes Station in Marin County, California.
  • E. Tamade Station
    Tamade Station is a subway station in Osaka, Japan, served by the Osaka Metro Yotsubashi Line.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Imbi station
Triple: [KL Monorail, hasStation, Imbi station]
Generated description
Imbi station is an elevated monorail stop on Kuala Lumpur’s KL Monorail line serving the busy Bukit Bintang shopping and entertainment district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Imbi station
Target entity description: Imbi station is an elevated monorail stop on Kuala Lumpur’s KL Monorail line serving the busy Bukit Bintang shopping and entertainment district.
  • A. Gaiemmae Station
    Gaiemmae Station is a Tokyo Metro subway station in Minato, Tokyo, serving the Ginza Line and providing convenient access to nearby sports and cultural facilities.
  • B. Nopo Station
    Nopo Station is a major subway and bus terminal in Busan, South Korea, serving as a key transportation hub for the northeastern part of the city.
  • C. Anonas station
    Anonas station is an elevated rapid transit stop on Manila’s Light Rail Transit Line 2 serving the Quezon City area.
  • D. Olema Station
    Olema Station is the former name of the small coastal town now known as Point Reyes Station in Marin County, California.
  • E. Tamade Station
    Tamade Station is a subway station in Osaka, Japan, served by the Osaka Metro Yotsubashi Line.
  • F. None of above. chosen

Provenance (5 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77126d9288190aa5daf2ba83d731d completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d751e8e081908f31ab2d82105c3c completed April 18, 2026, 12:58 a.m.
NEDg Description generation batch_69e2ff1ddd2c8190b31f5007f7492a4e completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e3260494bc81909e3dd4829697fb72 completed April 18, 2026, 6:34 a.m.
Created at: April 8, 2026, 9:23 p.m.