Triple

T11559002
Position Surface form Disambiguated ID Type / Status
Subject World Football League E274086 entity
Predicate hadTeam P330 FINISHED
Object Shreveport Steamer E51359 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: Shreveport Steamer | Statement: [World Football League, hadTeam, Shreveport Steamer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shreveport Steamer
Context triple: [World Football League, hadTeam, Shreveport Steamer]
  • A. Shreveport Steamer chosen
    Shreveport Steamer was a professional American football team that competed in the World Football League during the mid-1970s.
  • B. Sultana
    Sultana is an alternative name for Mount Foraker, a prominent peak in the Alaska Range and one of the highest mountains in North America.
  • C. Blennerhassett Island sternwheeler
    The Blennerhassett Island sternwheeler is a historic-style riverboat that ferries visitors to and from Blennerhassett Island Historical State Park on the Ohio River.
  • D. M/V LeConte
    M/V LeConte is an Alaska Marine Highway System ferry that provides passenger and vehicle service to coastal communities in Southeast Alaska.
  • E. Cherokee Louise
    "Cherokee Louise" is a song by Joni Mitchell that poignantly tells the story of a troubled young girl and themes of abuse and resilience.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a888e8481909386009b9603e4d3 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e88b84d48190948243646bb5fd2b completed April 21, 2026, 3:01 a.m.
Created at: April 8, 2026, 9:37 p.m.