Triple
T10560343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whittlesea railway station |
E249200
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
WLE
WLE is the National Rail station code assigned to Whittlesea railway station in Cambridgeshire, England.
|
E870619
|
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: WLE | Statement: [Whittlesea railway station, hasStationCode, WLE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WLE Context triple: [Whittlesea railway station, hasStationCode, WLE]
-
A.
WEL
WEL is the standard abbreviation used for the Welland Jackfish baseball team.
-
B.
WLD
WLD is the native cryptocurrency token of the Worldcoin project, used for governance, incentives, and participation within its identity and financial ecosystem.
-
C.
WLG
WLG is the three-letter IATA airport code assigned to Wellington Airport, the main international gateway to New Zealand’s capital city.
-
D.
WHE
WHE is the National Rail station code for Whalley railway station in Lancashire, England.
-
E.
WL
WL is the station code for Lutherstadt Wittenberg railway station in Germany.
- 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: WLE Triple: [Whittlesea railway station, hasStationCode, WLE]
Generated description
WLE is the National Rail station code assigned to Whittlesea railway station in Cambridgeshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WLE Target entity description: WLE is the National Rail station code assigned to Whittlesea railway station in Cambridgeshire, England.
-
A.
WEL
WEL is the standard abbreviation used for the Welland Jackfish baseball team.
-
B.
WLD
WLD is the native cryptocurrency token of the Worldcoin project, used for governance, incentives, and participation within its identity and financial ecosystem.
-
C.
WLG
WLG is the three-letter IATA airport code assigned to Wellington Airport, the main international gateway to New Zealand’s capital city.
-
D.
WHE
WHE is the National Rail station code for Whalley railway station in Lancashire, England.
-
E.
WL
WL is the station code for Lutherstadt Wittenberg railway station in Germany.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5271f3c6c819080b49fbe3aa09e09 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d93486c7288190a2ccb822fc968919 |
completed | April 10, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69d938c979788190b11b02748ed44153 |
completed | April 10, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9398b63f08190910dd838ad11de6e |
completed | April 10, 2026, 5:55 p.m. |
Created at: April 6, 2026, 12:35 p.m.