Triple

T13538139
Position Surface form Disambiguated ID Type / Status
Subject Arkema E323313 entity
Predicate hasSubsidiary P254 FINISHED
Object ArrMaz
ArrMaz is a specialty chemicals company known for producing additives and process aids for industries such as fertilizers, mining, asphalt, and industrial minerals.
E1047917 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: ArrMaz | Statement: [Arkema, hasSubsidiary, ArrMaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ArrMaz
Context triple: [Arkema, hasSubsidiary, ArrMaz]
  • A. MAZ
    MAZ is the IATA airport code for Eugenio María de Hostos Airport, a regional airport serving Mayagüez in western Puerto Rico.
  • B. Tajazai
    Tajazai is a village and settlement located in the Lakki Marwat District of Khyber Pakhtunkhwa province in Pakistan.
  • C. GMAZ
    GMAZ is the ICAO airport code for Zagora Airport in Morocco.
  • D. Mazz
    Mazz is a pioneering and influential Tejano band known for modernizing the genre with a distinctive blend of traditional Mexican music and contemporary pop sounds.
  • E. Alimos
    Alimos is a coastal suburb in the southern part of Athens, Greece, known for its marina and beaches along the Saronic Gulf.
  • 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: ArrMaz
Triple: [Arkema, hasSubsidiary, ArrMaz]
Generated description
ArrMaz is a specialty chemicals company known for producing additives and process aids for industries such as fertilizers, mining, asphalt, and industrial minerals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ArrMaz
Target entity description: ArrMaz is a specialty chemicals company known for producing additives and process aids for industries such as fertilizers, mining, asphalt, and industrial minerals.
  • A. MAZ
    MAZ is the IATA airport code for Eugenio María de Hostos Airport, a regional airport serving Mayagüez in western Puerto Rico.
  • B. Tajazai
    Tajazai is a village and settlement located in the Lakki Marwat District of Khyber Pakhtunkhwa province in Pakistan.
  • C. GMAZ
    GMAZ is the ICAO airport code for Zagora Airport in Morocco.
  • D. Mazz
    Mazz is a pioneering and influential Tejano band known for modernizing the genre with a distinctive blend of traditional Mexican music and contemporary pop sounds.
  • E. Alimos
    Alimos is a coastal suburb in the southern part of Athens, Greece, known for its marina and beaches along the Saronic Gulf.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbe39948190808062d4eff91841 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9c04b881908a359df791b89b43 completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f761e020708190a21ad4c0bc11d730 completed May 3, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69f765d0f9d88190b91097a359043860 completed May 3, 2026, 3:12 p.m.
Created at: April 9, 2026, 9:45 p.m.