Triple

T22505374
Position Surface form Disambiguated ID Type / Status
Subject CAC Next 20 E556374 entity
Predicate relatedIndex P5158 FINISHED
Object CAC Mid 60
The CAC Mid 60 is a French stock market index that tracks the performance of 60 mid-cap companies listed on Euronext Paris.
 E1540646 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: CAC Mid 60 | Statement: [CAC Next 20, relatedIndex, CAC Mid 60]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CAC Mid 60
Context triple: [CAC Next 20, relatedIndex, CAC Mid 60]
  • A. CA 60
    CA 60 is a major east–west freeway in Southern California that connects Los Angeles to the Inland Empire and serves as a key commuter and freight corridor.
  • B. CAC
    CAC is the commonly used abbreviation for the U.S. Army Combined Arms Center, a key institution responsible for developing Army doctrine, training, and leader education.
  • C. CAC
    The Central American Cup (CAC) is a regional football tournament featuring national teams from Central America competing for the championship title.
  • D. CAC
    CAC is a U.S. Department of Defense smart ID card used to securely authenticate personnel to physical facilities and computer networks.
  • E. CAC
    CAC is the commonly used abbreviation for the Czech Arbitration Court, an institution that resolves commercial and domain-name disputes through arbitration.
  • 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: CAC Mid 60
Triple: [CAC Next 20, relatedIndex, CAC Mid 60]
Generated description
The CAC Mid 60 is a French stock market index that tracks the performance of 60 mid-cap companies listed on Euronext Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CAC Mid 60
Target entity description: The CAC Mid 60 is a French stock market index that tracks the performance of 60 mid-cap companies listed on Euronext Paris.
  • A. CA 60
    CA 60 is a major east–west freeway in Southern California that connects Los Angeles to the Inland Empire and serves as a key commuter and freight corridor.
  • B. CAC
    The Central American Cup (CAC) is a regional football tournament featuring national teams from Central America competing for the championship title.
  • C. CAC
    CAC is the commonly used abbreviation for the U.S. Army Combined Arms Center, a key institution responsible for developing Army doctrine, training, and leader education.
  • D. CAC
    CAC is a U.S. Department of Defense smart ID card used to securely authenticate personnel to physical facilities and computer networks.
  • E. CAC
    CAC is the commonly used abbreviation for the Czech Arbitration Court, an institution that resolves commercial and domain-name disputes through arbitration.
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5bf0f0819093426d83ebd80ef0 completed April 29, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b17e860888190b5c74df43a9890e9 completed May 18, 2026, 1:45 p.m.
NEDg Description generation batch_6a0b18ad4f608190a6947aeb790d8be7 completed May 18, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_6a0b1979fe088190a06edb086d6b2b46 completed May 18, 2026, 1:51 p.m.
Created at: April 16, 2026, 8:50 p.m.