Triple

T9783404
Position Surface form Disambiguated ID Type / Status
Subject Alltech Arena E237431 entity
Predicate namedAfter P63 FINISHED
Object Alltech
Alltech is a global animal health and nutrition company specializing in feed additives, agricultural biotechnology, and sustainable farming solutions.
 E822041 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: Alltech | Statement: [Alltech Arena, namedAfter, Alltech]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alltech
Context triple: [Alltech Arena, namedAfter, Alltech]
  • A. DowDuPont
    DowDuPont was a large American chemical conglomerate formed by the merger of Dow Chemical and DuPont, later split into three independent companies focused on agriculture, materials science, and specialty products.
  • B. Corteva
    Corteva is an American agricultural chemical and seed company formed as an independent entity after the breakup of DowDuPont.
  • C. Zoetis
    Zoetis is a leading global animal health company that develops, manufactures, and markets medicines, vaccines, and diagnostic products for livestock and companion animals.
  • D. Ventris
    Ventris is the surname of Michael Ventris, the British architect and linguist renowned for deciphering the ancient script Linear B.
  • E. Bunge
    Bunge is the unicameral legislative body and main law-making institution of the United Republic of Tanzania.
  • 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: Alltech
Triple: [Alltech Arena, namedAfter, Alltech]
Generated description
Alltech is a global animal health and nutrition company specializing in feed additives, agricultural biotechnology, and sustainable farming solutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alltech
Target entity description: Alltech is a global animal health and nutrition company specializing in feed additives, agricultural biotechnology, and sustainable farming solutions.
  • A. DowDuPont
    DowDuPont was a large American chemical conglomerate formed by the merger of Dow Chemical and DuPont, later split into three independent companies focused on agriculture, materials science, and specialty products.
  • B. Corteva
    Corteva is an American agricultural chemical and seed company formed as an independent entity after the breakup of DowDuPont.
  • C. Zoetis
    Zoetis is a leading global animal health company that develops, manufactures, and markets medicines, vaccines, and diagnostic products for livestock and companion animals.
  • D. Ventris
    Ventris is the surname of Michael Ventris, the British architect and linguist renowned for deciphering the ancient script Linear B.
  • E. Bunge
    Bunge is the unicameral legislative body and main law-making institution of the United Republic of Tanzania.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b7740c8190bfb4997eb683d78a completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c41fc5508190a759cdda8416673a completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c53b888081908ecb01884f064b80 completed April 5, 2026, 2:13 a.m.
NED2 Entity disambiguation (via description) batch_69d1c5a1cfb08190b6c16e5309dbf2b8 completed April 5, 2026, 2:14 a.m.
Created at: March 30, 2026, 8:27 p.m.