Triple

T5886108
Position Surface form Disambiguated ID Type / Status
Subject ARCA Menards Series E130865 entity
Predicate shortName P43 FINISHED
Object ARCA
ARCA is a U.S.-based stock exchange operator and trading platform best known for its electronic securities trading and exchange-traded products.
 E553248 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: ARCA | Statement: [ARCA Menards Series, shortName, ARCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ARCA
Context triple: [ARCA Menards Series, shortName, ARCA]
  • A. ARCO
    ARCO is a U.S.-based gasoline and convenience store brand known for its low-cost fuel and extensive network of service stations, particularly on the West Coast.
  • B. Arca
    Arca is a Venezuelan experimental electronic music producer, singer, and songwriter known for her avant-garde sound and collaborations with artists like Kanye West, FKA twigs, and Björk.
  • C. Arcop
    Arcop was a prominent Canadian architectural firm known for its modernist designs and major cultural and institutional projects across Canada.
  • D. Arke
    Arke was a Dutch leisure airline and tour operator brand that later became part of TUI and was rebranded as TUI fly Netherlands.
  • E. Arka
    Arka is a Polish sports club best known for its professional football team based in the port city of Gdynia.
  • 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: ARCA
Triple: [ARCA Menards Series, shortName, ARCA]
Generated description
ARCA is a U.S.-based stock exchange operator and trading platform best known for its electronic securities trading and exchange-traded products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ARCA
Target entity description: ARCA is a U.S.-based stock exchange operator and trading platform best known for its electronic securities trading and exchange-traded products.
  • A. ARCO
    ARCO is a U.S.-based gasoline and convenience store brand known for its low-cost fuel and extensive network of service stations, particularly on the West Coast.
  • B. Arca
    Arca is a Venezuelan experimental electronic music producer, singer, and songwriter known for her avant-garde sound and collaborations with artists like Kanye West, FKA twigs, and Björk.
  • C. Arcop
    Arcop was a prominent Canadian architectural firm known for its modernist designs and major cultural and institutional projects across Canada.
  • D. Arke
    Arke was a Dutch leisure airline and tour operator brand that later became part of TUI and was rebranded as TUI fly Netherlands.
  • E. Arka
    Arka is a Polish sports club best known for its professional football team based in the port city of Gdynia.
  • 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03678dd2c819095926f80f25696b0 completed March 22, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b13ce8788190b07771180f0fa376 completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b1e5cdc081908d0d2b76701d20ea completed March 23, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69c0b24ea39481909d5452bc977e3596 completed March 23, 2026, 3:23 a.m.
Created at: March 22, 2026, 3:57 p.m.