Triple

T20978086
Position Surface form Disambiguated ID Type / Status
Subject MIH Function E516678 entity
Predicate communicatesVia P2798 FINISHED
Object MIH Protocol 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: MIH Protocol | Statement: [MIH Function, communicatesVia, MIH Protocol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MIH Protocol
Context triple: [MIH Function, communicatesVia, MIH Protocol]
  • A. MIH
    MIH is the National Rail station code for Mills Hill railway station in Greater Manchester, England.
  • B. MIH
    MIH is the International Watchmaking Museum in La Chaux-de-Fonds, Switzerland, renowned for its extensive collections and exhibitions on the history and art of timekeeping.
  • C. MIH chosen
    MIH is a networking standard framework that enables seamless handover and mobility support across heterogeneous wireless and wired access technologies.
  • D. MIH
    MIH is the station code for Mixiuhca, a Mexico City Metro station on Line 9 serving the Venustiano Carranza borough.
  • E. MIH Services
    MIH Services refers to the IEEE 802.21 framework that enables seamless handover and interoperability between heterogeneous wireless and wired networks.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba65b0881908bc00981053edb68 completed April 21, 2026, 4:23 a.m.
Created at: April 16, 2026, 1:47 p.m.