Triple

T18254169
Position Surface form Disambiguated ID Type / Status
Subject Continental AG E437177 entity
Predicate hasBrand P1500 FINISHED
Object Mabor NE NERFINISHED

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: Mabor | Statement: [Continental AG, hasBrand, Mabor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mabor
Context triple: [Continental AG, hasBrand, Mabor]
  • A. Mabor chosen
    Mabor is a tire brand owned by Continental AG, known for producing affordable passenger and commercial vehicle tires.
  • B. Molibagu
    Molibagu is a town in North Sulawesi, Indonesia, serving as the administrative and economic center of South Bolaang Mongondow Regency.
  • C. Moukari
    Moukari is a Finnish amateur radio callsign holder, identified by the callsign K9FIN Moukari.
  • D. Monyash
    Monyash is a small historic village in the Derbyshire Peak District of England, known for its limestone scenery and proximity to popular walking areas.
  • E. Matabaan
    Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd82f81c81909ad4455954bd8caa completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:33 a.m.