Triple

T4188865
Position Surface form Disambiguated ID Type / Status
Subject Mobil E88383 entity
Predicate hasBrand P1500 FINISHED
Object Mobil Super E88383 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: Mobil Super | Statement: [Mobil, hasBrand, Mobil Super]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mobil Super
Context triple: [Mobil, hasBrand, Mobil Super]
  • A. Mobil chosen
    Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
  • B. Merkur XR4Ti
    The Merkur XR4Ti is a mid-1980s, turbocharged rear-wheel-drive sport hatchback sold by Ford’s short-lived Merkur brand in North America, based on the European Ford Sierra.
  • C. Toyota Verblitz
    Toyota Verblitz is a professional Japanese rugby union team based in Toyota, Aichi, competing in Japan Rugby League One and known for attracting high-profile international players.
  • D. Mercury Cyclone
    The Mercury Cyclone was a mid-size muscle car produced by Ford's Mercury division in the 1960s and early 1970s, known for its powerful V8 engines and performance-oriented styling.
  • E. Mercury Milan
    The Mercury Milan is a mid-size sedan produced by Ford's Mercury division from 2006 to 2011, positioned as a more upscale counterpart to the Ford Fusion.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0326eaec819083cd298c9219dd15 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a034f6481909a3126d8832f7821 completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:46 p.m.