Triple
T2309446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marine expeditionary force |
E51917
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | MEF |
E58570
|
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: MEF | Statement: [Marine expeditionary force, hasAbbreviation, MEF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MEF Context triple: [Marine expeditionary force, hasAbbreviation, MEF]
-
A.
MDE
MDE is the state agency in Maryland responsible for protecting and restoring the environment and public health through regulation, monitoring, and enforcement of environmental laws.
-
B.
MEC
MEC is the commonly used acronym for Uruguay’s Ministry of Education and Culture, the national body responsible for educational policy and cultural affairs.
-
C.
I MEF
chosen
I MEF is a major Marine Air-Ground Task Force of the United States Marine Corps, headquartered at Camp Pendleton and capable of rapid, large-scale expeditionary operations.
-
D.
MEL
MEL is the three-letter IATA airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
-
E.
MEEI
MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
- 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc607cf4881908ba4ea2a7f5dedc9 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f3a007c8190b5c8683ced9d77fa |
completed | March 9, 2026, 8:05 a.m. |
Created at: March 4, 2026, 7:49 p.m.