Triple
T21192378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MMS |
E522242
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | MMS Relay/Server |
—
|
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: MMS Relay/Server | Statement: [MMS, hasComponent, MMS Relay/Server]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MMS Relay/Server Context triple: [MMS, hasComponent, MMS Relay/Server]
-
A.
MMS
MMS is the Massachusetts Medical Society, a professional association representing physicians and medical students in Massachusetts and the publisher of the New England Journal of Medicine.
-
B.
MMS
chosen
MMS (Multimedia Messaging Service) is a mobile messaging standard that allows users to send multimedia content such as images, audio, and video between mobile devices.
-
C.
MMSM
MMSM is the ICAO airport code assigned to Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
-
D.
MMQT
MMQT is the ICAO airport code for Querétaro International Airport in Querétaro, Mexico.
-
E.
M2M
M2M is a Norwegian pop duo best known for their late-1990s and early-2000s teen pop hits like "Don't Say You Love Me."
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73338dbe881908360dedad65c964b |
completed | April 21, 2026, 8:20 a.m. |
Created at: April 16, 2026, 3:07 p.m.