Triple
T7555957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marine Expeditionary Unit |
E178666
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
MEU
MEU is the standard abbreviation for a Marine Expeditionary Unit, a forward-deployed, rapid-response task force of the United States Marine Corps.
|
E673082
|
NE FINISHED |
How this triple was built (4 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: MEU | Statement: [Marine Expeditionary Unit, abbreviation, MEU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MEU Context triple: [Marine Expeditionary Unit, abbreviation, MEU]
-
A.
mye
mye is the ISO 639-3 language code for Myene, a Bantu language spoken primarily along the coast of Gabon.
-
B.
Me
"Me" is an EP by musician James McCartney, showcasing his melodic songwriting and alternative rock/pop style.
-
C.
Mene
Mene is an epithet of the Greek moon goddess Selene, emphasizing her aspect as the personification of the lunar month and its cyclical phases.
-
D.
MEI
MEI is a climate index that quantifies the strength and phase of the El Niño–Southern Oscillation by combining multiple atmospheric and oceanic variables over the tropical Pacific.
-
E.
MEI
MEI is the vehicle registration code for the German town of Meissen in the state of Saxony.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MEU Triple: [Marine Expeditionary Unit, abbreviation, MEU]
Generated description
MEU is the standard abbreviation for a Marine Expeditionary Unit, a forward-deployed, rapid-response task force of the United States Marine Corps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MEU Target entity description: MEU is the standard abbreviation for a Marine Expeditionary Unit, a forward-deployed, rapid-response task force of the United States Marine Corps.
-
A.
mye
mye is the ISO 639-3 language code for Myene, a Bantu language spoken primarily along the coast of Gabon.
-
B.
Me
"Me" is an EP by musician James McCartney, showcasing his melodic songwriting and alternative rock/pop style.
-
C.
Mene
Mene is an epithet of the Greek moon goddess Selene, emphasizing her aspect as the personification of the lunar month and its cyclical phases.
-
D.
MEI
MEI is a climate index that quantifies the strength and phase of the El Niño–Southern Oscillation by combining multiple atmospheric and oceanic variables over the tropical Pacific.
-
E.
MEI
MEI is the vehicle registration code for the German town of Meissen in the state of Saxony.
- F. None of above. chosen
Provenance (5 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8d82dd481908351876edc70c4ec |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856c20258819081761699228b8ba3 |
completed | March 28, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69c858501a6c81909a2186c264509be5 |
completed | March 28, 2026, 10:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c858c151b881908d112c426ba34827 |
completed | March 28, 2026, 10:40 p.m. |
Created at: March 27, 2026, 3:49 p.m.