Triple
T11232819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryland Air National Guard |
E265866
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
MDANG
MDANG is the commonly used abbreviation for the Maryland Air National Guard, the aerial militia component of the State of Maryland’s National Guard.
|
E913002
|
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: MDANG | Statement: [Maryland Air National Guard, nickname, MDANG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MDANG Context triple: [Maryland Air National Guard, nickname, MDANG]
-
A.
Mandisha
Mandisha is a village located within Egypt’s Bahariya Oasis in the Western Desert.
-
B.
MDoNER
MDoNER is an Indian government ministry responsible for planning, funding, and overseeing the socio-economic development of the country’s North Eastern Region.
-
C.
Magindanawn
Magindanawn is an Austronesian language spoken by the Maguindanaon people of Mindanao in the southern Philippines.
-
D.
MDAD
MDAD is the Miami-Dade Aviation Department, the county agency that manages and operates Miami International Airport and several general aviation airports in Miami-Dade County, Florida.
-
E.
MDMK
MDMK is a regional political party in the Indian state of Tamil Nadu, founded and led by Vaiko after splitting from the Dravida Munnetra Kazhagam (DMK).
- 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: MDANG Triple: [Maryland Air National Guard, nickname, MDANG]
Generated description
MDANG is the commonly used abbreviation for the Maryland Air National Guard, the aerial militia component of the State of Maryland’s National Guard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MDANG Target entity description: MDANG is the commonly used abbreviation for the Maryland Air National Guard, the aerial militia component of the State of Maryland’s National Guard.
-
A.
Mandisha
Mandisha is a village located within Egypt’s Bahariya Oasis in the Western Desert.
-
B.
MDoNER
MDoNER is an Indian government ministry responsible for planning, funding, and overseeing the socio-economic development of the country’s North Eastern Region.
-
C.
Magindanawn
Magindanawn is an Austronesian language spoken by the Maguindanaon people of Mindanao in the southern Philippines.
-
D.
MDAD
MDAD is the Miami-Dade Aviation Department, the county agency that manages and operates Miami International Airport and several general aviation airports in Miami-Dade County, Florida.
-
E.
MDMK
MDMK is a regional political party in the Indian state of Tamil Nadu, founded and led by Vaiko after splitting from the Dravida Munnetra Kazhagam (DMK).
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9026e1c81909456ac946bbba972 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad49b5cc8190b99cb2cd8de72109 |
completed | April 19, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69e4b12dd658819085c25d3edac2d66c |
completed | April 19, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4b3d23b18819096f3a11aecc732bd |
completed | April 19, 2026, 10:52 a.m. |
Created at: April 8, 2026, 9:30 p.m.