Triple

T8284836
Position Surface form Disambiguated ID Type / Status
Subject z/TPF E193763 entity
Predicate predecessor P97 FINISHED
Object TPF E193763 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: TPF | Statement: [z/TPF, predecessor, TPF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TPF
Context triple: [z/TPF, predecessor, TPF]
  • A. TPS
    TPS is a renowned lean manufacturing and management philosophy developed by Toyota that emphasizes waste reduction, continuous improvement, and respect for people.
  • B. TPS
    TPS is a U.S. immigration designation that allows nationals of certain countries facing conflict or disaster to live and work temporarily in the United States.
  • C. TPS
    TPS is the IATA airport code for Trapani–Birgi Airport, a civil and military airport serving the Trapani area in western Sicily, Italy.
  • D. TP
    TP is the two-letter IATA airline designator used to identify TAP Air Portugal on tickets, timetables, and flight information systems.
  • E. z/TPF chosen
    z/TPF is a specialized high-throughput, real-time transaction processing operating system used on IBM mainframes for mission-critical applications such as airline reservations and financial services.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7ad20ae481908179aba245c73fad completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd687e64a08190a45a1cf5f5c32291 completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:52 p.m.