Triple
T20978024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIH Event Service |
E516676
|
entity |
| Predicate | hasInterface |
P12981
|
FINISHED |
| Object | MIH SAP |
—
|
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 SAP | Statement: [MIH Event Service, hasInterface, MIH SAP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MIH SAP Context triple: [MIH Event Service, hasInterface, MIH SAP]
-
A.
MIH SAP
chosen
MIH SAP is a standardized service access point in IEEE 802.21 that provides a unified interface for higher-layer protocols and applications to control and manage media-independent handover functions across heterogeneous networks.
-
B.
MIH
MIH is the National Rail station code for Mills Hill railway station in Greater Manchester, England.
-
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 a networking standard framework that enables seamless handover and mobility support across heterogeneous wireless and wired access technologies.
-
E.
MIH
MIH is the station code for Mixiuhca, a Mexico City Metro station on Line 9 serving the Venustiano Carranza borough.
- 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.