Triple
T8287633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Just Enough Administration |
E193821
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
JEA
JEA is a PowerShell-based security technology from Microsoft that enables role-based, least-privilege administration of Windows systems.
|
E724248
|
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: JEA | Statement: [Just Enough Administration, abbreviation, JEA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JEA Context triple: [Just Enough Administration, abbreviation, JEA]
-
A.
KJEF
KJEF is the ICAO airport code for Jefferson City Memorial Airport, a public airport serving Jefferson City, Missouri.
-
B.
JEMA
JEMA is the abbreviated designation for the Chief of Staff of the French Air and Space Force, the highest-ranking officer responsible for its command and strategic direction.
-
C.
JAC
JAC is the commonly used abbreviation for the Judicial Appointments Commission, the body responsible for selecting candidates for judicial office in England and Wales.
-
D.
SJC
SJC is the abbreviation commonly used for the Massachusetts Supreme Judicial Court, the highest appellate court in the Commonwealth of Massachusetts.
-
E.
SJC
SJC is the three-letter FAA airport code for Norman Y. Mineta San Jose International Airport serving the San Jose, California area.
- 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: JEA Triple: [Just Enough Administration, abbreviation, JEA]
Generated description
JEA is a PowerShell-based security technology from Microsoft that enables role-based, least-privilege administration of Windows systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JEA Target entity description: JEA is a PowerShell-based security technology from Microsoft that enables role-based, least-privilege administration of Windows systems.
-
A.
KJEF
KJEF is the ICAO airport code for Jefferson City Memorial Airport, a public airport serving Jefferson City, Missouri.
-
B.
JEMA
JEMA is the abbreviated designation for the Chief of Staff of the French Air and Space Force, the highest-ranking officer responsible for its command and strategic direction.
-
C.
JAC
JAC is the commonly used abbreviation for the Judicial Appointments Commission, the body responsible for selecting candidates for judicial office in England and Wales.
-
D.
SJC
SJC is the abbreviation commonly used for the Massachusetts Supreme Judicial Court, the highest appellate court in the Commonwealth of Massachusetts.
-
E.
SJC
SJC is the three-letter FAA airport code for Norman Y. Mineta San Jose International Airport serving the San Jose, California area.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad4b2008190ad1624e1335147c6 |
completed | March 31, 2026, 7:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd688441908190b6b0a39dfb9d87ac |
completed | April 1, 2026, 6:48 p.m. |
| NEDg | Description generation | batch_69cd6d55196881909cf5ec925792e09f |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e2bdae08190adc51e904e85695e |
completed | April 1, 2026, 8:21 p.m. |
Created at: March 30, 2026, 5:52 p.m.