Triple
T10779040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marine expeditionary brigade |
E254268
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
MEB
MEB is the standard abbreviation for a Marine Expeditionary Brigade, a mid-sized, rapidly deployable U.S. Marine Corps air-ground task force designed for crisis response and combat operations.
|
E624396
|
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: MEB | Statement: [Marine expeditionary brigade, abbreviation, MEB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MEB Context triple: [Marine expeditionary brigade, abbreviation, MEB]
-
A.
MEB
MEB is the IATA airport code for Essendon Airport, a public airport serving the Melbourne region in Victoria, Australia.
-
B.
MEI
MEI is the vehicle registration code for the German town of Meissen in the state of Saxony.
-
C.
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.
-
D.
MEI
MEI is an abbreviation for Matsushita Electric Industrial Co., the Japanese electronics company better known globally by its Panasonic brand.
-
E.
MOE
MOE is the common abbreviation for Japan’s Ministry of Education, the government body responsible for national education policy and administration.
- 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: MEB Triple: [Marine expeditionary brigade, abbreviation, MEB]
Generated description
MEB is the standard abbreviation for a Marine Expeditionary Brigade, a mid-sized, rapidly deployable U.S. Marine Corps air-ground task force designed for crisis response and combat operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MEB Target entity description: MEB is the standard abbreviation for a Marine Expeditionary Brigade, a mid-sized, rapidly deployable U.S. Marine Corps air-ground task force designed for crisis response and combat operations.
-
A.
MEB
chosen
MEB is the IATA airport code for Essendon Airport, a public airport serving the Melbourne region in Victoria, Australia.
-
B.
MEI
MEI is the vehicle registration code for the German town of Meissen in the state of Saxony.
-
C.
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.
-
D.
MEI
MEI is an abbreviation for Matsushita Electric Industrial Co., the Japanese electronics company better known globally by its Panasonic brand.
-
E.
MOE
MOE is the common abbreviation for Japan’s Ministry of Education, the government body responsible for national education policy and administration.
- F. None of above.
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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732c25478819093dedec0c8556777 |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de55e9fe2081909acbfba7a65be18e |
completed | April 14, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69de5eacae148190b7ca2da87427572e |
completed | April 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de6397ff688190b6788489895a5360 |
completed | April 14, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:16 p.m.