Triple
T18610371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Directorate-General for Personnel (DG PERS) |
E454874
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
DG PERS
DG PERS is the Directorate-General responsible for managing personnel and human resources within a large European Union institutional framework.
|
E1333144
|
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: DG PERS | Statement: [Directorate-General for Personnel (DG PERS), abbreviation, DG PERS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DG PERS Context triple: [Directorate-General for Personnel (DG PERS), abbreviation, DG PERS]
-
A.
DGP
DGP is the highest-ranking police officer in an Indian state or union territory, responsible for overseeing the entire state police force.
-
B.
DG
DG is the abbreviation for the German-speaking Community, the small German-language region and federal community in eastern Belgium.
-
C.
DG
DG is the stock ticker symbol for Data General, a former American minicomputer manufacturer prominent in the 1970s and 1980s.
-
D.
DG
DG is a postcode area in southwest Scotland covering Dumfries, Galloway, and surrounding regions.
-
E.
DCGS
DCGS is the U.S. Air Force’s primary intelligence, surveillance, and reconnaissance (ISR) processing, exploitation, and dissemination system that integrates data from multiple sensors to support military operations.
- 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: DG PERS Triple: [Directorate-General for Personnel (DG PERS), abbreviation, DG PERS]
Generated description
DG PERS is the Directorate-General responsible for managing personnel and human resources within a large European Union institutional framework.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DG PERS Target entity description: DG PERS is the Directorate-General responsible for managing personnel and human resources within a large European Union institutional framework.
-
A.
DGP
DGP is the highest-ranking police officer in an Indian state or union territory, responsible for overseeing the entire state police force.
-
B.
DG
DG is the abbreviation for the German-speaking Community, the small German-language region and federal community in eastern Belgium.
-
C.
DG
DG is the stock ticker symbol for Data General, a former American minicomputer manufacturer prominent in the 1970s and 1980s.
-
D.
DG
DG is a postcode area in southwest Scotland covering Dumfries, Galloway, and surrounding regions.
-
E.
DCGS
DCGS is the U.S. Air Force’s primary intelligence, surveillance, and reconnaissance (ISR) processing, exploitation, and dissemination system that integrates data from multiple sensors to support military operations.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d013748819099126e27e7ec543d |
completed | April 19, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050389d4f481908463ea2501295b8b |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a05052b41bc819080284bc18db67d5b |
completed | May 13, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0505cbc11481908e61d90dd64f6212 |
completed | May 13, 2026, 11:14 p.m. |
Created at: April 10, 2026, 11:45 a.m.