Triple

T21171813
Position Surface form Disambiguated ID Type / Status
Subject Pekalongan Station E521708 entity
Predicate connectsTo P845 FINISHED
Object Cirebon Station NE NERFINISHED

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: Cirebon Station | Statement: [Pekalongan Station, connectsTo, Cirebon Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cirebon Station
Context triple: [Pekalongan Station, connectsTo, Cirebon Station]
  • A. Cirebon Station chosen
    Cirebon Station is a major railway station in Cirebon, West Java, Indonesia, serving as an important junction on the main line connecting Jakarta with cities in Central and East Java.
  • B. Cirebon Prujakan Station
    Cirebon Prujakan Station is a major railway station in Cirebon, Indonesia, serving as an important hub for intercity and regional train services on Java.
  • C. Pekalongan Station
    Pekalongan Station is a major railway station in the coastal city of Pekalongan, Central Java, Indonesia, serving as an important stop on the island’s north coast rail corridor.
  • D. Sentul station
    Sentul station is a key commuter rail station in Kuala Lumpur, Malaysia, serving as an important node on the KTM Komuter network.
  • E. Purwosari Station
    Purwosari Station is a major railway station in Surakarta (Solo), Central Java, Indonesia, serving as an important hub for both local and intercity train services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7271351f08190b609a6c280c9a02a completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 3 p.m.