Triple
T20070283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congleton railway station |
E499714
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
CNG
CNG is the three-letter National Rail station code assigned to Congleton railway station in Cheshire, England.
|
E1410038
|
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: CNG | Statement: [Congleton railway station, stationCode, CNG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CNG Context triple: [Congleton railway station, stationCode, CNG]
-
A.
LPG
LPG (liquefied petroleum gas) is a widely used fuel composed mainly of propane and butane, commonly utilized for heating, cooking, and as an automotive and industrial energy source.
-
B.
CNGGZ
CNGGZ is the UN/LOCODE identifier for the Port of Guangzhou, one of China's largest and busiest seaports and a major hub for international trade.
-
C.
GNV
GNV is the stock ticker symbol for Genivar Inc., a Canadian engineering consulting firm that later became part of WSP Global.
-
D.
Vasoline
"Vasoline" is a 1994 grunge/alternative rock song by Stone Temple Pilots, known for its heavy riff, distinctive vocal effects, and prominent rotation on rock radio and MTV.
-
E.
Gasolina
"Gasolina" is a landmark reggaeton track by Daddy Yankee that helped popularize the genre worldwide in the early 2000s.
- 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: CNG Triple: [Congleton railway station, stationCode, CNG]
Generated description
CNG is the three-letter National Rail station code assigned to Congleton railway station in Cheshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CNG Target entity description: CNG is the three-letter National Rail station code assigned to Congleton railway station in Cheshire, England.
-
A.
LPG
LPG (liquefied petroleum gas) is a widely used fuel composed mainly of propane and butane, commonly utilized for heating, cooking, and as an automotive and industrial energy source.
-
B.
CNGGZ
CNGGZ is the UN/LOCODE identifier for the Port of Guangzhou, one of China's largest and busiest seaports and a major hub for international trade.
-
C.
GNV
GNV is the stock ticker symbol for Genivar Inc., a Canadian engineering consulting firm that later became part of WSP Global.
-
D.
Vasoline
"Vasoline" is a 1994 grunge/alternative rock song by Stone Temple Pilots, known for its heavy riff, distinctive vocal effects, and prominent rotation on rock radio and MTV.
-
E.
Gasolina
"Gasolina" is a landmark reggaeton track by Daddy Yankee that helped popularize the genre worldwide in the early 2000s.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643798a4819081fa4e71c74b47bc |
completed | April 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081f3d1ad48190b434568a0c0d60de |
completed | May 16, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_6a08203132d48190b3f1313dae3e6fc1 |
completed | May 16, 2026, 7:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0821390af08190a4aca33d33f0e71d |
completed | May 16, 2026, 7:48 a.m. |
Created at: April 11, 2026, 3:40 p.m.