Triple

T7835986
Position Surface form Disambiguated ID Type / Status
Subject Cisco ACI E181692 entity
Predicate abbreviation P43 FINISHED
Object ACI
ACI is Cisco's software-defined networking solution that provides centralized, policy-based automation and management for data center networks.
E696067 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: ACI | Statement: [Cisco ACI, abbreviation, ACI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ACI
Context triple: [Cisco ACI, abbreviation, ACI]
  • A. ACI Europe
    ACI Europe is the trade association representing European airports, advocating for their interests and promoting safe, efficient, and sustainable air transport across Europe.
  • B. ACIA
    ACIA is a key ASEAN agreement designed to liberalize, protect, and promote investment among member states to foster regional economic integration.
  • C. AICS
    AICS is the Allen Institute for Cell Science, a research organization focused on understanding and modeling the structure and behavior of human cells.
  • D. AIC
    AIC is the ICAO airline designator used to identify Air India in international aviation operations and communications.
  • E. ACCU
    ACCU is the acronym for the Association of Catholic Colleges and Universities, a national organization representing Catholic higher education institutions.
  • 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: ACI
Triple: [Cisco ACI, abbreviation, ACI]
Generated description
ACI is Cisco's software-defined networking solution that provides centralized, policy-based automation and management for data center networks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ACI
Target entity description: ACI is Cisco's software-defined networking solution that provides centralized, policy-based automation and management for data center networks.
  • A. ACI Europe
    ACI Europe is the trade association representing European airports, advocating for their interests and promoting safe, efficient, and sustainable air transport across Europe.
  • B. ACIA
    ACIA is a key ASEAN agreement designed to liberalize, protect, and promote investment among member states to foster regional economic integration.
  • C. AICS
    AICS is the Allen Institute for Cell Science, a research organization focused on understanding and modeling the structure and behavior of human cells.
  • D. AIC
    AIC is the ICAO airline designator used to identify Air India in international aviation operations and communications.
  • E. ACCU
    ACCU is the acronym for the Association of Catholic Colleges and Universities, a national organization representing Catholic higher education institutions.
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb064cb7e081909e88419863d94dfe completed March 30, 2026, 11:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5aa3f75881908e5380b5d8f86ea6 completed March 31, 2026, 5:24 a.m.
NEDg Description generation batch_69cb5f1afe0c8190916c7a9b2eab9270 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb765db28881909ac34071ec6889b3 completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:46 p.m.