Triple
T15453414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corning Museum of Glass |
E371708
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | CMoG |
E371708
|
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: CMoG | Statement: [Corning Museum of Glass, alsoKnownAs, CMoG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CMoG Context triple: [Corning Museum of Glass, alsoKnownAs, CMoG]
-
A.
CMoG
chosen
CMoG is the Corning Museum of Glass, a renowned institution in Corning, New York dedicated to the art, history, and science of glass.
-
B.
MCoE
MCoE is the U.S. Army’s primary training and doctrine center for maneuver forces, integrating infantry, armor, and related capabilities at Fort Moore, Georgia.
-
C.
MoC
MoC is the Saudi Ministry of Culture, the government body responsible for developing, preserving, and promoting Saudi Arabia’s cultural sector and heritage.
-
D.
CMGC
The CMGC was a specialized Canadian military unit formed during World War I to operate machine guns in support of infantry operations.
-
E.
MOG
MOG is the National Rail station code used to identify Moorgate railway station in London.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f131b1481909ff099c3b844ee07 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b5e1788190bdc8182822f25fa1 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:30 a.m.