Triple
T4839201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magadan Time |
E108135
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | MAGT |
E474830
|
NE 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: MAGT | Statement: [Magadan Time, abbreviation, MAGT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MAGT Context triple: [Magadan Time, abbreviation, MAGT]
-
A.
MAGT
chosen
MAGT is the time zone abbreviation formerly used for Magadan Time in Russia.
-
B.
MAG
MAG is the abbreviated name used to represent Magic Gaming, the NBA 2K League affiliate of the Orlando Magic.
-
C.
MAG
MAG is the magnetometer instrument aboard the European Space Agency’s Venus Express spacecraft, designed to measure Venus’s magnetic field and its interaction with the solar wind.
-
D.
MAG
MAG is the parent company of Malaysia Airlines and related aviation businesses, overseeing the group’s airline, cargo, and aviation services operations.
-
E.
MAG
MAG is a major British airport operator that owns and manages several UK airports, including Manchester Airport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ce4a5108190aede620d5dde1f81 |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fa94f58819080b8b9c55fc604f9 |
completed | March 21, 2026, 10:15 a.m. |
Created at: March 20, 2026, 1:25 p.m.