Triple

T36058089
Position Surface form Disambiguated ID Type / Status
Subject Express Rail Link E1043001 entity
Predicate intermediateStations P24280 FINISHED
Object Bandar Tasik Selatan
Bandar Tasik Selatan is a major rail and transport hub in Kuala Lumpur, Malaysia, integrating intercity trains, commuter rail, airport rail, and bus services.
 E2166851 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: Bandar Tasik Selatan | Statement: [Express Rail Link, intermediateStations, Bandar Tasik Selatan]
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: Bandar Tasik Selatan
Triple: [Express Rail Link, intermediateStations, Bandar Tasik Selatan]
Generated description
Bandar Tasik Selatan is a major rail and transport hub in Kuala Lumpur, Malaysia, integrating intercity trains, commuter rail, airport rail, and bus services.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: intermediateStations
Context triple: [Express Rail Link, intermediateStations, Bandar Tasik Selatan]
  • A. hasIntermediateStation chosen
    Indicates that a route, journey, or connection includes a station that lies between its starting point and its final destination.
  • B. middleStation
    Indicates that one station lies between two other stations along a route or line, serving as an intermediate point in the sequence.
  • C. numberOfIntermediateStops
    Indicates the count of stops or pauses that occur between the starting point and the final destination in a journey or process.
  • D. servesAsThroughStationFor
    Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
  • E. interchangeStation
    Indicates a station where passengers can transfer between different routes, lines, or modes of transportation.
  • F. None of above.

Provenance (6 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_69f76e2f09448190b0486d5ecad5e243 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fe779248c081909f0ed1a2a0df23db completed May 8, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38cba591908190978c635582500aa8 completed June 22, 2026, 5:44 a.m.
NEDg Description generation batch_6a38cc39f7b08190a724bf37300945a5 completed June 22, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_6a38cd5a88e08190ba69fd3d8dad28f2 completed June 22, 2026, 5:51 a.m.
PD Predicate disambiguation batch_69fe76eaf6d48190998bc7168749cc42 completed May 8, 2026, 11:51 p.m.
Created at: May 3, 2026, 4:08 p.m.