Triple
T9417896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downers Grove North High School |
E227074
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
DGN
DGN is a public high school in Downers Grove, Illinois, known for its strong academics, extracurricular programs, and community involvement.
|
E798316
|
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: DGN | Statement: [Downers Grove North High School, alsoKnownAs, DGN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DGN Context triple: [Downers Grove North High School, alsoKnownAs, DGN]
-
A.
GDN
GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
-
B.
DGP
DGP is the highest-ranking police officer in an Indian state or union territory, responsible for overseeing the entire state police force.
-
C.
DGS
The DGS was the notorious political police force of Portugal’s Estado Novo dictatorship, responsible for repressing dissent and persecuting regime opponents.
-
D.
DGS
DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
-
E.
DG
DG is the abbreviation for the German-speaking Community, the small German-language region and federal community in eastern Belgium.
- 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: DGN Triple: [Downers Grove North High School, alsoKnownAs, DGN]
Generated description
DGN is a public high school in Downers Grove, Illinois, known for its strong academics, extracurricular programs, and community involvement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DGN Target entity description: DGN is a public high school in Downers Grove, Illinois, known for its strong academics, extracurricular programs, and community involvement.
-
A.
GDN
GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
-
B.
DGP
DGP is the highest-ranking police officer in an Indian state or union territory, responsible for overseeing the entire state police force.
-
C.
DGS
The DGS was the notorious political police force of Portugal’s Estado Novo dictatorship, responsible for repressing dissent and persecuting regime opponents.
-
D.
DGS
DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
-
E.
DG
DG is the abbreviation for the German-speaking Community, the small German-language region and federal community in eastern Belgium.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68cd1e3481909abcb715e2398120 |
completed | April 1, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107bfd73481908e07d0ee2774bd59 |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d1085a980c8190b4c6d811b07ab180 |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1093f440481909aa27287019191ac |
completed | April 4, 2026, 12:51 p.m. |
Created at: March 30, 2026, 7:48 p.m.