Triple

T20904810
Position Surface form Disambiguated ID Type / Status
Subject 100 Gigabit Ethernet E514764 entity
Predicate supportsFormFactor P9336 FINISHED
Object CFP2
CFP2 is a compact hot-pluggable optical transceiver module form factor commonly used for high-speed 100 Gigabit Ethernet and other advanced telecom and data center applications.
 E1456887 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: CFP2 | Statement: [100 Gigabit Ethernet, supportsFormFactor, CFP2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CFP2
Context triple: [100 Gigabit Ethernet, supportsFormFactor, CFP2]
  • A. C2F
    C2F is the United States Navy’s operational fleet responsible for maritime operations and readiness in the western Atlantic Ocean.
  • B. SCFAP
    SCFAP is a key APEC initiative aimed at improving the efficiency and integration of supply chains across the Asia-Pacific region.
  • C. CFAP
    CFAP is a California state program that provides food assistance benefits to certain low-income residents who are ineligible for federal SNAP due to immigration status.
  • D. COFAP
    COFAP is the Council for Finance and Planning, a regional body responsible for coordinating economic and financial policy among member states.
  • E. COFAP
    COFAP is a Brazilian manufacturer best known for its automotive shock absorbers and suspension components.
  • 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: CFP2
Triple: [100 Gigabit Ethernet, supportsFormFactor, CFP2]
Generated description
CFP2 is a compact hot-pluggable optical transceiver module form factor commonly used for high-speed 100 Gigabit Ethernet and other advanced telecom and data center applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CFP2
Target entity description: CFP2 is a compact hot-pluggable optical transceiver module form factor commonly used for high-speed 100 Gigabit Ethernet and other advanced telecom and data center applications.
  • A. C2F
    C2F is the United States Navy’s operational fleet responsible for maritime operations and readiness in the western Atlantic Ocean.
  • B. SCFAP
    SCFAP is a key APEC initiative aimed at improving the efficiency and integration of supply chains across the Asia-Pacific region.
  • C. CFAP
    CFAP is a California state program that provides food assistance benefits to certain low-income residents who are ineligible for federal SNAP due to immigration status.
  • D. COFAP
    COFAP is the Council for Finance and Planning, a regional body responsible for coordinating economic and financial policy among member states.
  • E. COFAP
    COFAP is a Brazilian manufacturer best known for its automotive shock absorbers and suspension components.
  • 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8ff36488190987ecdfcbed4220c completed April 21, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0918d86e0c8190b72886c8eefeee7f completed May 17, 2026, 1:24 a.m.
NEDg Description generation batch_6a091aa1c728819086154d9975acb981 completed May 17, 2026, 1:32 a.m.
NED2 Entity disambiguation (via description) batch_6a091b17eec481908b0da1432856efbf completed May 17, 2026, 1:34 a.m.
Created at: April 16, 2026, 12:47 p.m.