Triple

T6122418
Position Surface form Disambiguated ID Type / Status
Subject Surakarta E136514 entity
Predicate hasRailwayStation P918 FINISHED
Object Purwosari Station E504812 NE FINISHED

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: Purwosari Station | Statement: [Surakarta, hasRailwayStation, Purwosari Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Purwosari Station
Context triple: [Surakarta, hasRailwayStation, Purwosari Station]
  • A. Purwosari Station chosen
    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.
  • B. 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.
  • C. Tasikmalaya railway station
    Tasikmalaya railway station is a key train station in the city of Tasikmalaya, Indonesia, serving as an important regional hub for passenger rail transport.
  • D. Bogor Station
    Bogor Station is a major railway station and commuter rail terminus serving the city of Bogor and the greater Jakarta metropolitan area in Indonesia.
  • E. Sangen-jaya Station
    Sangen-jaya Station is a major railway station in Tokyo’s Setagaya ward, serving as a busy transit hub with direct access to central city areas and a surrounding neighborhood known for its lively dining and nightlife.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05c247b7081909972b40afb165e6f completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135a5c428819090066ad785296736 completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:14 p.m.