Triple
T20977997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIH Event Service |
E516676
|
entity |
| Predicate | communicatesWith |
P19362
|
FINISHED |
| Object | MIH Function |
—
|
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 Function | Statement: [MIH Event Service, communicatesWith, MIH Function]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MIH Function Context triple: [MIH Event Service, communicatesWith, MIH Function]
-
A.
MIH Function
chosen
The MIH Function is a core component of IEEE 802.21 that enables seamless handover between heterogeneous wireless and wired networks by providing a unified interface for mobility management.
-
B.
MIH
MIH is a networking standard framework that enables seamless handover and mobility support across heterogeneous wireless and wired access technologies.
-
C.
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.
-
D.
MIH
MIH is the station code for Mixiuhca, a Mexico City Metro station on Line 9 serving the Venustiano Carranza borough.
-
E.
MIH
MIH is the National Rail station code for Mills Hill railway station in Greater Manchester, England.
- 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.