Triple
T13245141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewisham station |
E315381
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
LEW
LEW is the National Rail station code for Lewisham railway station in southeast London.
|
E1028291
|
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: LEW | Statement: [Lewisham station, hasStationCode, LEW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LEW Context triple: [Lewisham station, hasStationCode, LEW]
-
A.
LEW
LEW is the IATA airport code for Auburn/Lewiston Municipal Airport in Maine, United States.
-
B.
Lew
Lew is a surname most prominently associated with Jack Lew, the former U.S. Secretary of the Treasury.
-
C.
LW
LW is the station code used to identify Lawrence West station on Toronto's subway system.
-
D.
LEE
LEE is the stock ticker symbol for Lee Enterprises, a U.S.-based media company that owns and operates numerous local newspapers and digital news platforms.
-
E.
LEE
LEE is a robotic grappling mechanism used on spacecraft robotic arms, notably on the Canadarm systems, to securely latch onto fixtures and manipulate payloads in space.
- 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: LEW Triple: [Lewisham station, hasStationCode, LEW]
Generated description
LEW is the National Rail station code for Lewisham railway station in southeast London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LEW Target entity description: LEW is the National Rail station code for Lewisham railway station in southeast London.
-
A.
LEW
LEW is the IATA airport code for Auburn/Lewiston Municipal Airport in Maine, United States.
-
B.
Lew
Lew is a surname most prominently associated with Jack Lew, the former U.S. Secretary of the Treasury.
-
C.
LW
LW is the station code used to identify Lawrence West station on Toronto's subway system.
-
D.
LEE
LEE is the stock ticker symbol for Lee Enterprises, a U.S.-based media company that owns and operates numerous local newspapers and digital news platforms.
-
E.
LEE
LEE is a robotic grappling mechanism used on spacecraft robotic arms, notably on the Canadarm systems, to securely latch onto fixtures and manipulate payloads in space.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5b06148190a44e698bbe5cd529 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff3600388190a7f61370f54d5e63 |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f6ffeec1e8819090e1917fc6449ede |
completed | May 3, 2026, 7:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7017d8d308190bb54958764026325 |
completed | May 3, 2026, 8:04 a.m. |
Created at: April 9, 2026, 9:23 p.m.