Triple

T14580795
Position Surface form Disambiguated ID Type / Status
Subject Series E6 Shinkansen E342185 entity
Predicate manufacturer P490 FINISHED
Object J-TREC E538223 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: J-TREC | Statement: [Series E6 Shinkansen, manufacturer, J-TREC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J-TREC
Context triple: [Series E6 Shinkansen, manufacturer, J-TREC]
  • A. J-TREC chosen
    J-TREC (Japan Transport Engineering Company) is a Japanese rolling stock manufacturer known for producing a wide range of commuter and regional trains for rail operators such as JR East.
  • B. TJC
    TJC is a U.S.-based nonprofit organization that accredits and certifies healthcare organizations and programs to promote quality and patient safety.
  • C. TJT
    TJT is the time zone used in Tajikistan, corresponding to Tajikistan Time (UTC+5).
  • D. TJCP
    TJCP is the ICAO airport code assigned to Benjamin Rivera Noriega Airport in Puerto Rico.
  • E. JTTN
    JTTN is the station code for Jorhat Town railway station, a rail transport hub serving the city of Jorhat in Assam, India.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb41e71748190a1deacc819dd26d3 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94b832b08190965b727baa700403 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.