Triple

T3118712
Position Surface form Disambiguated ID Type / Status
Subject Empire Corridor E65126 entity
Predicate service P4690 FINISHED
Object Maple Leaf E56056 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: Maple Leaf | Statement: [Empire Corridor, service, Maple Leaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maple Leaf
Context triple: [Empire Corridor, service, Maple Leaf]
  • A. Maple Leaf chosen
    Maple Leaf is an Amtrak intercity passenger train service that operates between New York City and Toronto, connecting major cities in New York State with southern Ontario.
  • B. O Canada
    "O Canada" is the national anthem of Canada, widely performed at official events and international sporting competitions.
  • C. Blitzen
    Blitzen is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
  • D. The Green and Gold
    The Green and Gold is a popular nickname for the Portland Timbers, the Major League Soccer club based in Portland, Oregon.
  • E. SHAMROCK
    SHAMROCK is the distinctive radio callsign used by Aer Lingus, the flag carrier airline of Ireland.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada4e975f08190a91a01f37a31b766 completed March 8, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f63f8f881909348d4c6eb3c7e20 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.