Triple
T4977093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dungog railway station |
E111792
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
DGG
DGG is the station code for Dungog railway station in New South Wales, Australia.
|
E485572
|
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: DGG | Statement: [Dungog railway station, hasStationCode, DGG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DGG Context triple: [Dungog railway station, hasStationCode, DGG]
-
A.
KGG
KGG is the abbreviated name of Kings Guard Gaming, an NBA 2K League esports team affiliated with the Sacramento Kings.
-
B.
DGC
DGC is the United Nations Department of Global Communications, responsible for promoting global awareness and understanding of the UN’s work through strategic communication and public outreach.
-
C.
DGC
DGC is a record label imprint best known for signing influential alternative rock and grunge artists in the late 1980s and 1990s.
-
D.
DGS
The DGS was the notorious political police force of Portugal’s Estado Novo dictatorship, responsible for repressing dissent and persecuting regime opponents.
-
E.
DGS
DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
- 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: DGG Triple: [Dungog railway station, hasStationCode, DGG]
Generated description
DGG is the station code for Dungog railway station in New South Wales, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DGG Target entity description: DGG is the station code for Dungog railway station in New South Wales, Australia.
-
A.
KGG
KGG is the abbreviated name of Kings Guard Gaming, an NBA 2K League esports team affiliated with the Sacramento Kings.
-
B.
DGC
DGC is the United Nations Department of Global Communications, responsible for promoting global awareness and understanding of the UN’s work through strategic communication and public outreach.
-
C.
DGC
DGC is a record label imprint best known for signing influential alternative rock and grunge artists in the late 1980s and 1990s.
-
D.
DGS
The DGS was the notorious political police force of Portugal’s Estado Novo dictatorship, responsible for repressing dissent and persecuting regime opponents.
-
E.
DGS
DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7231448c8190a5d0a5135a9cfdf1 |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a0634b48190acb4a1834f5647cf |
completed | March 21, 2026, 12:07 p.m. |
| NEDg | Description generation | batch_69be8a9c72848190978797a33d0d83c8 |
completed | March 21, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8b3718288190b2fc319fdad0a7c0 |
completed | March 21, 2026, 12:12 p.m. |
Created at: March 20, 2026, 1:33 p.m.