Triple

T4424268
Position Surface form Disambiguated ID Type / Status
Subject Continental AG E95172 entity
Predicate brand P1500 FINISHED
Object Mabor
Mabor is a tire brand owned by Continental AG, known for producing affordable passenger and commercial vehicle tires.
 E437183 NE FINISHED

How this triple was built (4 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, brand, Mabor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mabor
Context triple: [Continental AG, brand, Mabor]
  • A. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • B. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • C. Mora
    Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
  • D. Nobsa
    Nobsa is a Colombian town known for its traditional wool textiles and crafts, located in the Boyacá Department.
  • E. Martaban
    Martaban is a historic port city in southern Myanmar that once served as the capital of the Mon kingdom and a key hub in regional maritime trade.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mabor
Triple: [Continental AG, brand, Mabor]
Generated description
Mabor is a tire brand owned by Continental AG, known for producing affordable passenger and commercial vehicle tires.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mabor
Target entity description: Mabor is a tire brand owned by Continental AG, known for producing affordable passenger and commercial vehicle tires.
  • A. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • B. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • C. Mora
    Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
  • D. Nobsa
    Nobsa is a Colombian town known for its traditional wool textiles and crafts, located in the Boyacá Department.
  • E. Martaban
    Martaban is a historic port city in southern Myanmar that once served as the capital of the Mon kingdom and a key hub in regional maritime trade.
  • F. None of above. chosen

Provenance (5 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554ca5208190ba2661616dcf071c completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f62f7eb88190a02669845126e790 completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f6c8a58481908d7bd3d4cfaf265c completed March 15, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_69b5f73f38d481908ad44dfd33de85ca completed March 15, 2026, 12:03 a.m.
Created at: March 12, 2026, 11:30 p.m.