Triple

T10243981
Position Surface form Disambiguated ID Type / Status
Subject RFC 5751 E197861 entity
Predicate area P175 FINISHED
Object Security Area E37371 NE FINISHED

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: Security Area | Statement: [RFC 5751, area, Security Area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Security Area
Context triple: [RFC 5751, area, Security Area]
  • A. Security Area chosen
    The Security Area is the segment of the IETF responsible for developing and overseeing standards and protocols related to Internet and network security.
  • B. Security Service
    The Security Service, commonly known as MI5, is the United Kingdom’s domestic counter-intelligence and security agency responsible for protecting national security against threats such as terrorism and espionage.
  • C. Security Office
    The Security Office was the postwar communist secret police service in Poland, notorious for political repression, surveillance, and persecution of opposition.
  • D. Joint Security Area
    The Joint Security Area is the heavily guarded section of the Korean Demilitarized Zone where North and South Korean forces stand face-to-face and diplomatic negotiations are conducted.
  • E. Safety
    "Safety" is a poem by Rupert Brooke, best known as one of the reflective, idealistic sonnets from his 1914 and Other Poems collection written during the early days of World War I.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d22a76188190a73df23bfb08eb3d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7936ce4819087f07df2c7a76282 completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:26 a.m.