Triple

T9833336
Position Surface form Disambiguated ID Type / Status
Subject TransJakarta E239039 entity
Predicate fareMedium P1303 FINISHED
Object JakLingko card
The JakLingko card is a contactless smart card used as an integrated payment method for public transportation services in Jakarta, Indonesia.
E824407 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: JakLingko card | Statement: [TransJakarta, fareMedium, JakLingko card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JakLingko card
Context triple: [TransJakarta, fareMedium, JakLingko card]
  • A. Jonggring Saloko
    Jonggring Saloko is the active summit crater of Mount Semeru, Indonesia’s highest volcano on Java, known for its frequent eruptions and volcanic activity.
  • B. Kanpetlet
    Kanpetlet is a small, remote town in western Myanmar known as a gateway to Nat Ma Taung (Mount Victoria) and its surrounding national park.
  • C. Kato Zakros
    Kato Zakros is a coastal village and archaeological site on the eastern coast of Crete, known for the remains of a significant Minoan palace complex.
  • D. Sekadau
    Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
  • E. Jasso
    Jasso is a locality in the Mexican state of Hidalgo, likely known as an industrial or residential community within the region.
  • 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: JakLingko card
Triple: [TransJakarta, fareMedium, JakLingko card]
Generated description
The JakLingko card is a contactless smart card used as an integrated payment method for public transportation services in Jakarta, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: JakLingko card
Target entity description: The JakLingko card is a contactless smart card used as an integrated payment method for public transportation services in Jakarta, Indonesia.
  • A. Jonggring Saloko
    Jonggring Saloko is the active summit crater of Mount Semeru, Indonesia’s highest volcano on Java, known for its frequent eruptions and volcanic activity.
  • B. Kanpetlet
    Kanpetlet is a small, remote town in western Myanmar known as a gateway to Nat Ma Taung (Mount Victoria) and its surrounding national park.
  • C. Kato Zakros
    Kato Zakros is a coastal village and archaeological site on the eastern coast of Crete, known for the remains of a significant Minoan palace complex.
  • D. Sekadau
    Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
  • E. Jasso
    Jasso is a locality in the Mexican state of Hidalgo, likely known as an industrial or residential community within the region.
  • 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb336bfc4819084f0d4d6d1867484 completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5c448388190818e4cc5e3a42dfc completed April 5, 2026, 3:23 a.m.
NEDg Description generation batch_69d1d6affc3c8190839a4db8f4271309 completed April 5, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69d1d772de00819089eed8be9f5ce3ce completed April 5, 2026, 3:30 a.m.
Created at: March 30, 2026, 8:32 p.m.