Triple

T3080783
Position Surface form Disambiguated ID Type / Status
Subject Poncol railway station E64250 entity
Predicate connectsTo P845 FINISHED
Object Solo E118185 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: Solo | Statement: [Poncol railway station, connectsTo, Solo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solo
Context triple: [Poncol railway station, connectsTo, Solo]
  • A. Solo chosen
    Solo is a city in Central Java, Indonesia, renowned as a major center of traditional Javanese culture and batik craftsmanship.
  • B. The Lonely
    "The Lonely" is a 1959 episode of the anthology series The Twilight Zone about a convicted man exiled to a remote asteroid who develops a profound emotional bond with a female robot companion.
  • C. Lonely
    "Lonely" is a 2005 R&B/hip-hop ballad by Akon, known for its distinctive high-pitched sample and themes of heartbreak and regret.
  • D. One and Only
    "One and Only" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
  • E. In One Person
    In One Person is a 2012 novel by John Irving that explores bisexual identity, sexual fluidity, and self-discovery through the life story of a bisexual man.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1aaf6d48190af4f9106965589b0 completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2035c404881908635c8514c8c1399 completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:03 p.m.