Triple

T8852319
Position Surface form Disambiguated ID Type / Status
Subject DHCPREQUEST E210666 entity
Predicate hasDHCPMessageTypeCode P84994 FINISHED
Object 3 LITERAL 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: 3 | Statement: [DHCPREQUEST, hasDHCPMessageTypeCode, 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDHCPMessageTypeCode
Context triple: [DHCPREQUEST, hasDHCPMessageTypeCode, 3]
  • A. hasTypeCode
    Indicates that an entity is associated with a specific type classification represented by a code.
  • B. hasCommunicationCodeType
    Indicates that an entity is associated with a specific type or category of communication code (e.g., phone, fax, email, messaging).
  • C. hasFeatureCode
    Indicates that an entity is associated with a specific feature identifier or code that characterizes one of its properties or attributes.
  • D. hasMethodType
    Indicates that an entity is associated with, or characterized by, a specific type or category of method used or applied in its context.
  • E. hasFrameType
    Indicates that an entity possesses or is associated with a specific type or category of frame.
  • F. None of above. chosen

Provenance (4 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c3c5548190926e374bbe592180 completed April 1, 2026, 12:03 a.m.
PD Predicate disambiguation batch_69cc5c25b874819084c9ba391703e066 completed March 31, 2026, 11:43 p.m.
PDg Predicate description generation batch_69cc5cffe8ec819084c12770fe0578f2 completed March 31, 2026, 11:47 p.m.
Created at: March 30, 2026, 6:49 p.m.