Triple

T21144665
Position Surface form Disambiguated ID Type / Status
Subject Aramark E521021 entity
Predicate tickerSymbol P1447 FINISHED
Object ARMK
ARMK is the stock ticker symbol for Aramark, a global provider of food, facilities, and uniform services.
 E1469554 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: ARMK | Statement: [Aramark, tickerSymbol, ARMK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ARMK
Context triple: [Aramark, tickerSymbol, ARMK]
  • A. AKRM
    AKRM is a Mauritian institution dedicated to the promotion, standardization, and development of the Mauritian Creole language.
  • B. ARMS
    ARMS is a colorful, fast-paced fighting game for the Nintendo Switch that features extendable-armed characters battling in 3D arenas.
  • C. Armio
    Armio is a small village and locality that forms part of the municipality of Cannobio in the Piedmont region of northern Italy.
  • D. ARMIR
    ARMIR was the Italian 8th Army deployed on the Eastern Front during World War II, best known for its disastrous defeat alongside German forces in the Soviet Union.
  • E. The Arm
    The Arm is a short film best known for featuring actor Miles Heizer in its cast.
  • 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: ARMK
Triple: [Aramark, tickerSymbol, ARMK]
Generated description
ARMK is the stock ticker symbol for Aramark, a global provider of food, facilities, and uniform services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ARMK
Target entity description: ARMK is the stock ticker symbol for Aramark, a global provider of food, facilities, and uniform services.
  • A. AKRM
    AKRM is a Mauritian institution dedicated to the promotion, standardization, and development of the Mauritian Creole language.
  • B. ARMS
    ARMS is a colorful, fast-paced fighting game for the Nintendo Switch that features extendable-armed characters battling in 3D arenas.
  • C. Armio
    Armio is a small village and locality that forms part of the municipality of Cannobio in the Piedmont region of northern Italy.
  • D. ARMIR
    ARMIR was the Italian 8th Army deployed on the Eastern Front during World War II, best known for its disastrous defeat alongside German forces in the Soviet Union.
  • E. The Arm
    The Arm is a short film best known for featuring actor Miles Heizer in its cast.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723fbb29881909c4036eab46ed440 completed April 21, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a096dc182708190b7311ae0d4bbf2d2 completed May 17, 2026, 7:26 a.m.
NEDg Description generation batch_6a096e6cce748190ba618dfe86f7f6ce completed May 17, 2026, 7:29 a.m.
NED2 Entity disambiguation (via description) batch_6a096f7706448190a1bb61535e0adcd3 completed May 17, 2026, 7:34 a.m.
Created at: April 16, 2026, 2:57 p.m.