Triple

T21187112
Position Surface form Disambiguated ID Type / Status
Subject Bologna public bus network E522109 entity
Predicate operator P179 FINISHED
Object TPER 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: TPER | Statement: [Bologna public bus network, operator, TPER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TPER
Context triple: [Bologna public bus network, operator, TPER]
  • A. TPER chosen
    TPER is an Italian public transport company that manages regional bus and rail services, particularly in the Emilia-Romagna region.
  • B. T&P
    T&P is the common abbreviation for the historic Texas and Pacific Railway, a major railroad that operated across Texas and the southwestern United States.
  • C. TP
    TP is a hip-hop artist affiliated with the independent rap label Jamla Records, known for its roster of lyrically focused and soulful acts.
  • D. TP
    TP is the two-letter IATA airline designator used to identify TAP Air Portugal on tickets, timetables, and flight information systems.
  • E. t_P
    t_P denotes the Planck time, the fundamental unit of time in physics derived from universal constants and representing the shortest meaningful interval in current physical theories.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7302222788190aa55ee0ed7342498 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:07 p.m.