Triple

T20611641
Position Surface form Disambiguated ID Type / Status
Subject ICMP E506461 entity
Predicate abbreviation P43 FINISHED
Object ICMP NE NERFINISHED

How this triple was built (2 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: ICMP | Statement: [ICMP, abbreviation, ICMP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ICMP
Context triple: [ICMP, abbreviation, ICMP]
  • A. ICMP
    ICMP is an international organization that works to locate and identify missing persons and support justice and reconciliation efforts worldwide.
  • B. ICMP chosen
    ICMP (Internet Control Message Protocol) is a core network-layer protocol used primarily for sending error messages and operational information, such as in tools like ping and traceroute, within IP networks.
  • C. Arpinge
    Arpinge is a small rural hamlet in Kent, England, situated in the countryside near Folkestone.
  • D. TCP/IP
    TCP/IP is the fundamental communication protocol suite that enables data transmission and networking across the internet and most modern computer networks.
  • E. Internet Protocol
    Internet Protocol is the core networking protocol that defines how data packets are addressed and routed across interconnected computer networks, forming the foundation of the modern internet.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aad81bdc8190aa6f6164f406a468 completed April 20, 2026, 10:38 p.m.
Created at: April 16, 2026, 11:41 a.m.