Triple
T14862661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dora Creek railway station |
E349535
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
DCK
DCK is the station code for Dora Creek railway station in New South Wales, Australia.
|
E1123768
|
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: DCK | Statement: [Dora Creek railway station, hasStationCode, DCK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DCK Context triple: [Dora Creek railway station, hasStationCode, DCK]
-
A.
DCY
DCY is the station code for Daly City station, a Bay Area Rapid Transit (BART) rail station serving the city of Daly City, California.
-
B.
DCH
DCH is the Georgia state agency responsible for overseeing public health care programs, including Medicaid and PeachCare for Kids, and regulating health care facilities.
-
C.
KCK
KCK is an umbrella organization that unites various Kurdish political and militant groups, including the PKK, under a shared ideological and administrative framework.
-
D.
DAK
DAK is the abbreviation for the German Afrika Korps, the German expeditionary force that fought in North Africa during World War II under commanders such as Erwin Rommel.
-
E.
CCK
CCK is the IATA airport code for Cocos (Keeling) Islands Airport, serving the Cocos (Keeling) Islands in the Indian Ocean.
- 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: DCK Triple: [Dora Creek railway station, hasStationCode, DCK]
Generated description
DCK is the station code for Dora Creek railway station in New South Wales, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DCK Target entity description: DCK is the station code for Dora Creek railway station in New South Wales, Australia.
-
A.
DCY
DCY is the station code for Daly City station, a Bay Area Rapid Transit (BART) rail station serving the city of Daly City, California.
-
B.
DCH
DCH is the Georgia state agency responsible for overseeing public health care programs, including Medicaid and PeachCare for Kids, and regulating health care facilities.
-
C.
KCK
KCK is an umbrella organization that unites various Kurdish political and militant groups, including the PKK, under a shared ideological and administrative framework.
-
D.
DAK
DAK is the abbreviation for the German Afrika Korps, the German expeditionary force that fought in North Africa during World War II under commanders such as Erwin Rommel.
-
E.
CCK
CCK is the IATA airport code for Cocos (Keeling) Islands Airport, serving the Cocos (Keeling) Islands in the Indian Ocean.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded574d0ec8190a6afed672ba6c2f9 |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe650c41b081909cdadbaec472eee3 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe66218cb88190b8c86b359abaa14c |
completed | May 8, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe66de57cc8190935d764d399f56f5 |
completed | May 8, 2026, 10:42 p.m. |
Created at: April 10, 2026, 1:54 a.m.